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ORCIDSameer Singh 0001
Person information
- affiliation: University of California, Irvine, CA, USA
- affiliation (2013-2016): University of Washington, Seattle, WA, USA
- affiliation (PhD 2014): University of Massachusetts, Amherst, MA, USA
- affiliation (2004-2007): Vanderbilt University, Nashville, TN, USA
Other persons with the same name
- Sameer Singh — disambiguation page
- Sameer Singh 0002 — Loughborough University, Research School of Informatics, UK (and 2 more)
- Sameer Singh 0003 — Cadence Design Systems, Bangalore, India
Other persons with a similar name
- Sameer Singh Chauhan
![[0000-0001-9241-2915]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9241-2915")
— Malaviya National Institute of Technology, Department of Computer Science and Engineering, Jaipur, India - Sameer Kumar 0005 (aka: Sameer Kumar Singh) — University of Manitoba, Department of Computer Science, Winnipeg, Canada
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2020 – today
- 2024
[c129]Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith:
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. EMNLP (Findings) 2024: 3603-3623- [c128]Yasaman Razeghi, Ishita Dasgupta, Fangyu Liu, Vinay Ramasesh, Sameer Singh:
Plot Twist: Multimodal Models Don't Comprehend Simple Chart Details. EMNLP (Findings) 2024: 5922-5937 - [c127]Catarina G. Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth:
Perceptions of Linguistic Uncertainty by Language Models and Humans. EMNLP 2024: 8467-8502 - [c126]Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh:
Are Models Biased on Text without Gender-related Language? ICLR 2024 - [c125]Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge:
What's In My Big Data? ICLR 2024 - [c124]Yasaman Razeghi, Hamish Ivison, Sameer Singh, Yanai Elazar:
Backtracking Mathematical Reasoning of Language Models to the Pretraining Data. Tiny Papers @ ICLR 2024 - [c123]Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox:
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. ICML 2024 - [c122]Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh:
Selective Perception: Learning Concise State Descriptions for Language Model Actors. NAACL (Short Papers) 2024: 327-341 - [c121]Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh:
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning. NAACL (Short Papers) 2024: 399-432 - [c120]Preethi Seshadri, Sameer Singh, Yanai Elazar:
The Bias Amplification Paradox in Text-to-Image Generation. NAACL-HLT 2024: 6367-6384 - [c119]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. NAACL-HLT 2024: 7538-7558 - [c118]Rachel Longjohn, Markelle Kelly, Sameer Singh, Padhraic Smyth:
Benchmark Data Repositories for Better Benchmarking. NeurIPS 2024 - [i95]Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox:
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills. CoRR abs/2402.03244 (2024) - [i94]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. CoRR abs/2404.14695 (2024) - [i93]Catarina G. Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh:
Are Models Biased on Text without Gender-related Language? CoRR abs/2405.00588 (2024) - [i92]Catarina G. Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth:
Perceptions of Linguistic Uncertainty by Language Models and Humans. CoRR abs/2407.15814 (2024) - [i91]Yu Fei, Yasaman Razeghi, Sameer Singh:
Nudging: Inference-time Alignment via Model Collaboration. CoRR abs/2410.09300 (2024) - [i90]Rachel Longjohn, Markelle Kelly, Sameer Singh, Padhraic Smyth:
Benchmark Data Repositories for Better Benchmarking. CoRR abs/2410.24100 (2024) - [i89]Sina Rismanchian, Yasaman Razeghi, Sameer Singh, Shayan Doroudi:
TurtleBench: A Visual Programming Benchmark in Turtle Geometry. CoRR abs/2411.00264 (2024) - 2023
- [j8]Elena Kochkina, Tamanna Hossain, Robert L. Logan IV, Miguel Arana-Catania, Rob Procter, Arkaitz Zubiaga, Sameer Singh, Yulan He, Maria Liakata:
Evaluating the generalisability of neural rumour verification models. Inf. Process. Manag. 60(1): 103116 (2023) - [j7]Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh:
Explaining machine learning models with interactive natural language conversations using TalkToModel. Nat. Mac. Intell. 5(8): 873-883 (2023) - [c117]Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Factual and Informative Review Generation for Explainable Recommendation. AAAI 2023: 13816-13824 - [c116]Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué:
Maestro: A Gamified Platform for Teaching AI Robustness. AAAI 2023: 15816-15824 - [c115]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. ACL (1) 2023: 5352-5367 - [c114]Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga:
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. ACL (1) 2023: 14429-14446 - [c113]Shivanshu Gupta, Matt Gardner, Sameer Singh:
Coverage-based Example Selection for In-Context Learning. EMNLP (Findings) 2023: 13924-13950 - [c112]Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox:
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. ICML 2023: 26311-26325 - [c111]Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju:
Post Hoc Explanations of Language Models Can Improve Language Models. NeurIPS 2023 - [c110]Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué:
Design Factors of Maestro: A Serious Game for Robust AI Education. SIGCSE (2) 2023: 1318 - [i88]Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox:
Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling. CoRR abs/2301.12050 (2023) - [i87]Bhargavi Paranjape, Scott M. Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, Marco Túlio Ribeiro:
ART: Automatic multi-step reasoning and tool-use for large language models. CoRR abs/2303.09014 (2023) - [i86]Dylan Slack, Sameer Singh:
TABLET: Learning From Instructions For Tabular Data. CoRR abs/2304.13188 (2023) - [i85]Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju:
Post Hoc Explanations of Language Models Can Improve Language Models. CoRR abs/2305.11426 (2023) - [i84]Shivanshu Gupta, Matt Gardner, Sameer Singh:
Coverage-based Example Selection for In-Context Learning. CoRR abs/2305.14907 (2023) - [i83]Anthony Chen, Panupong Pasupat, Sameer Singh, Hongrae Lee, Kelvin Guu:
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions. CoRR abs/2305.14908 (2023) - [i82]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. CoRR abs/2306.03950 (2023) - [i81]Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué:
Maestro: A Gamified Platform for Teaching AI Robustness. CoRR abs/2306.08238 (2023) - [i80]Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh:
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors. CoRR abs/2307.11922 (2023) - [i79]Preethi Seshadri, Sameer Singh, Yanai Elazar:
The Bias Amplification Paradox in Text-to-Image Generation. CoRR abs/2308.00755 (2023) - [i78]Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh:
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning. CoRR abs/2309.10687 (2023) - [i77]Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hanna Hajishirzi, Noah A. Smith, Jesse Dodge:
What's In My Big Data? CoRR abs/2310.20707 (2023) - [i76]Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith:
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR abs/2311.09605 (2023) - 2022
- [c109]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
PYLON: A PyTorch Framework for Learning with Constraints. AAAI 2022: 13152-13154 - [c108]Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh:
Zero- and Few-Shot NLP with Pretrained Language Models. ACL (tutorial) 2022: 32-37 - [c107]Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. ACL (Findings) 2022: 1934-1946 - [c106]Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel:
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. ACL (Findings) 2022: 2824-2835 - [c105]Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. ACL (1) 2022: 5198-5215 - [c104]Yasaman Razeghi, Raja Sekhar Reddy Mekala, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance. EMNLP (Demos) 2022: 389-395 - [c103]Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. EMNLP (Findings) 2022: 840-854 - [c102]Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner:
Successive Prompting for Decomposing Complex Questions. EMNLP 2022: 1251-1265 - [c101]Zhaofeng Wu, Robert L. Logan IV, Pete Walsh, Akshita Bhagia, Dirk Groeneveld, Sameer Singh, Iz Beltagy:
Continued Pretraining for Better Zero- and Few-Shot Promptability. EMNLP 2022: 4517-4531 - [c100]Shivanshu Gupta, Sameer Singh, Matt Gardner:
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. EMNLP (Findings) 2022: 4966-4979 - [c99]Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi:
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT 2022: 3631-3643 - [c98]Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang:
FRUIT: Faithfully Reflecting Updated Information in Text. NAACL-HLT 2022: 3670-3686 - [c97]Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia:
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. WoWMoM 2022: 337-346 - [i75]Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia:
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. CoRR abs/2201.02693 (2022) - [i74]Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd:
Identifying Adversarial Attacks on Text Classifiers. CoRR abs/2201.08555 (2022) - [i73]Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh:
Rethinking Explainability as a Dialogue: A Practitioner's Perspective. CoRR abs/2202.01875 (2022) - [i72]Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Impact of Pretraining Term Frequencies on Few-Shot Reasoning. CoRR abs/2202.07206 (2022) - [i71]Shivanshu Gupta, Sameer Singh, Matt Gardner:
Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets. CoRR abs/2203.08445 (2022) - [i70]Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR abs/2204.05991 (2022) - [i69]Kolby Nottingham, Alekhya Pyla, Sameer Singh, Roy Fox:
Learning to Query Internet Text for Informing Reinforcement Learning Agents. CoRR abs/2205.13079 (2022) - [i68]Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh:
TalkToModel: Understanding Machine Learning Models With Open Ended Dialogues. CoRR abs/2207.04154 (2022) - [i67]Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder:
Factual and Informative Review Generation for Explainable Recommendation. CoRR abs/2209.12613 (2022) - [i66]Preethi Seshadri, Pouya Pezeshkpour, Sameer Singh:
Quantifying Social Biases Using Templates is Unreliable. CoRR abs/2210.04337 (2022) - [i65]Zhaofeng Wu, Robert L. Logan IV, Pete Walsh, Akshita Bhagia, Dirk Groeneveld, Sameer Singh, Iz Beltagy:
Continued Pretraining for Better Zero- and Few-Shot Promptability. CoRR abs/2210.10258 (2022) - [i64]Kalyani Asthana, Zhouhang Xie, Wencong You, Adam Noack, Jonathan Brophy, Sameer Singh, Daniel Lowd:
TCAB: A Large-Scale Text Classification Attack Benchmark. CoRR abs/2210.12233 (2022) - [i63]Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner:
Successive Prompting for Decomposing Complex Questions. CoRR abs/2212.04092 (2022) - [i62]Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga:
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. CoRR abs/2212.10381 (2022) - 2021
- [c96]Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang:
Improved Consistency Regularization for GANs. AAAI 2021: 11033-11041 - [c95]Nitish Gupta, Sameer Singh, Matt Gardner:
Enforcing Consistency in Weakly Supervised Semantic Parsing. ACL/IJCNLP (2) 2021: 168-174 - [c94]Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh:
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP. ACL/IJCNLP (1) 2021: 4472-4485 - [c93]Robert L. Logan IV, Andrew McCallum, Sameer Singh, Daniel M. Bikel:
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference. ACL/IJCNLP (1) 2021: 4717-4731 - [c92]Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh:
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations. BlackboxNLP@EMNLP 2021: 69-78 - [c91]Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) 2021: 1801-1813 - [c90]Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. EMNLP (1) 2021: 5774-5785 - [c89]Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh:
Generative Context Pair Selection for Multi-hop Question Answering. EMNLP (1) 2021: 7009-7015 - [c88]Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh:
Entity-Based Knowledge Conflicts in Question Answering. EMNLP (1) 2021: 7052-7063 - [c87]Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner:
Learning with Instance Bundles for Reading Comprehension. EMNLP (1) 2021: 7347-7357 - [c86]Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh:
Calibrate Before Use: Improving Few-shot Performance of Language Models. ICML 2021: 12697-12706 - [c85]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). IJCAI 2021: 4824-4828 - [c84]Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh:
Concealed Data Poisoning Attacks on NLP Models. NAACL-HLT 2021: 139-150 - [c83]Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. NAACL-HLT 2021: 967-975 - [c82]Dylan Slack, Anna Hilgard, Himabindu Lakkaraju, Sameer Singh:
Counterfactual Explanations Can Be Manipulated. NeurIPS 2021: 62-75 - [c81]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
Pylon: A PyTorch Framework for Learning with Constraints. NeurIPS (Competition and Demos) 2021: 319-324 - [c80]Dylan Slack, Anna Hilgard, Sameer Singh, Himabindu Lakkaraju:
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability. NeurIPS 2021: 9391-9404 - [e4]Danqi Chen, Jonathan Berant, Andrew McCallum, Sameer Singh:
3rd Conference on Automated Knowledge Base Construction, AKBC 2021, Virtual, October 4-8, 2021. 2021 [contents] - [i61]Tony Z. Zhao, Eric Wallace, Shi Feng, Dan Klein, Sameer Singh:
Calibrate Before Use: Improving Few-Shot Performance of Language Models. CoRR abs/2102.09690 (2021) - [i60]Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. CoRR abs/2104.01759 (2021) - [i59]Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. CoRR abs/2104.04128 (2021) - [i58]Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith:
Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR abs/2104.08646 (2021) - [i57]Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner:
Learning with Instance Bundles for Reading Comprehension. CoRR abs/2104.08735 (2021) - [i56]Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh:
Generative Context Pair Selection for Multi-hop Question Answering. CoRR abs/2104.08744 (2021) - [i55]Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju, Sameer Singh:
Counterfactual Explanations Can Be Manipulated. CoRR abs/2106.02666 (2021) - [i54]Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, Sameer Singh:
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP. CoRR abs/2106.06830 (2021) - [i53]Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju:
Feature Attributions and Counterfactual Explanations Can Be Manipulated. CoRR abs/2106.12563 (2021) - [i52]Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel:
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. CoRR abs/2106.13353 (2021) - [i51]Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. CoRR abs/2107.00323 (2021) - [i50]Nitish Gupta, Sameer Singh, Matt Gardner:
Enforcing Consistency in Weakly Supervised Semantic Parsing. CoRR abs/2107.05833 (2021) - [i49]Kolby Nottingham, Litian Liang, Daeyun Shin, Charless C. Fowlkes, Roy Fox, Sameer Singh:
Modular Framework for Visuomotor Language Grounding. CoRR abs/2109.02161 (2021) - [i48]Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, Sameer Singh:
Entity-Based Knowledge Conflicts in Question Answering. CoRR abs/2109.05052 (2021) - [i47]Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi:
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR abs/2112.08348 (2021) - [i46]Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang:
FRUIT: Faithfully Reflecting Updated Information in Text. CoRR abs/2112.08634 (2021) - 2020
- [j6]Yoshitomo Matsubara, Davide Callegaro, Sabur Baidya, Marco Levorato, Sameer Singh:
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems. IEEE Access 8: 212177-212193 (2020) - [c79]Sameer Singh:
Minecraft as a Platform for Project-Based Learning in AI. AAAI 2020: 13504-13505 - [c78]Ananth Gottumukkala, Dheeru Dua, Sameer Singh, Matt Gardner:
Dynamic Sampling Strategies for Multi-Task Reading Comprehension. ACL 2020: 920-924 - [c77]Robert L. Logan IV, Matt Gardner, Sameer Singh:
On Importance Sampling-Based Evaluation of Latent Language Models. ACL 2020: 2171-2176 - [c76]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. ACL 2020: 4902-4912 - [c75]Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL 2020: 5594-5608 - [c74]Dheeru Dua, Sameer Singh, Matt Gardner:
Benefits of Intermediate Annotations in Reading Comprehension. ACL 2020: 5627-5634 - [c73]Bahareh Harandizadeh, Sameer Singh:
Tweeki: Linking Named Entities on Twitter to a Knowledge Graph. W-NUT@EMNLP 2020: 222-231 - [c72]Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju:
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods. AIES 2020: 180-186 - [c71]Pouya Pezeshkpour, Yifan Tian, Sameer Singh:
Revisiting Evaluation of Knowledge Base Completion Models. AKBC 2020 - [c70]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 2020: 1307-1323 - [c69]Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. EMNLP (1) 2020: 6521-6532 - [c68]Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, Sameer Singh:
COVIDLies: Detecting COVID-19 Misinformation on Social Media. NLP4COVID@EMNLP 2020 - [c67]Eric Wallace, Matt Gardner, Sameer Singh:
Interpreting Predictions of NLP Models. EMNLP (Tutorial Abstracts) 2020: 20-23 - [c66]Junlin Wang, Jens Tuyls, Eric Wallace, Sameer Singh:
Gradient-based Analysis of NLP Models is Manipulable. EMNLP (Findings) 2020: 247-258 - [c65]Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi:
MedICaT: A Dataset of Medical Images, Captions, and Textual References. EMNLP (Findings) 2020: 2112-2120 - [c64]Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, Sameer Singh:
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts. EMNLP (1) 2020: 4222-4235 - [c63]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. ICLR 2020 - [c62]Nikaash Puri, Sukriti Verma, Piyush Gupta, Dhruv Kayastha, Shripad V. Deshmukh, Balaji Krishnamurthy, Sameer Singh:
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution. ICLR 2020 - [c61]Dan Barsever, Sameer Singh, Emre Neftci:
Building a Better Lie Detector with BERT: The Difference Between Truth and Lies. IJCNN 2020: 1-7 - [e3]Dipanjan Das, Hannaneh Hajishirzi, Andrew McCallum, Sameer Singh:
Conference on Automated Knowledge Base Construction, AKBC 2020, Virtual, June 22-24, 2020. 2020 [contents] - [i45]Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang:
Improved Consistency Regularization for GANs. CoRR abs/2002.04724 (2020) - [i44]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating NLP Models via Contrast Sets. CoRR abs/2004.02709 (2020) - [i43]Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR abs/2005.00724 (2020) - [i42]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP models with CheckList. CoRR abs/2005.04118 (2020) - [i41]Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang:
Image Augmentations for GAN Training. CoRR abs/2006.02595 (2020) - [i40]Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju:
How Much Should I Trust You? Modeling Uncertainty of Black Box Explanations. CoRR abs/2008.05030 (2020) - [i39]Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. CoRR abs/2010.03636 (2020) - [i38]Junlin Wang, Jens Tuyls, Eric Wallace, Sameer Singh:
Gradient-based Analysis of NLP Models is Manipulable. CoRR abs/2010.05419 (2020) - [i37]Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi:
MedICaT: A Dataset of Medical Images, Captions, and Textual References. CoRR abs/2010.06000 (2020) - [i36]Eric Wallace, Tony Z. Zhao, Shi Feng, Sameer Singh:
Customizing Triggers with Concealed Data Poisoning. CoRR abs/2010.12563 (2020) - [i35]Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, Sameer Singh:
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts. CoRR abs/2010.15980 (2020)
2010 – 2019
- 2019
- [j5]Jihyun Park, Dimitrios Kotzias, Patty Kuo, Robert L. Logan IV, Kritzia Merced, Sameer Singh, Michael Tanana, Efi Karra Taniskidou, Jennifer Elston-Lafata, David C. Atkins, Ming Tai-Seale, Zac E. Imel, Padhraic Smyth:
Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions. J. Am. Medical Informatics Assoc. 26(12): 1493-1504 (2019) - [c60]Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer:
Compositional Questions Do Not Necessitate Multi-hop Reasoning. ACL (1) 2019: 4249-4257 - [c59]Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh:
Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. ACL (1) 2019: 5962-5971 - [c58]Marco Túlio Ribeiro, Carlos Guestrin, Sameer Singh:
Are Red Roses Red? Evaluating Consistency of Question-Answering Models. ACL (1) 2019: 6174-6184 - [c57]Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
Evaluating Question Answering Evaluation. MRQA@EMNLP 2019: 119-124 - [c56]Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner:
Comprehensive Multi-Dataset Evaluation of Reading Comprehension. MRQA@EMNLP 2019: 147-153 - [c55]Pouya Pezeshkpour, Yifan Tian, Sameer Singh:
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications. AKBC 2019 - [c54]Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh:
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. EMNLP/IJCNLP (3) 2019: 7-12 - [c53]Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith:
Knowledge Enhanced Contextual Word Representations. EMNLP/IJCNLP (1) 2019: 43-54 - [c52]Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh:
Universal Adversarial Triggers for Attacking and Analyzing NLP. EMNLP/IJCNLP (1) 2019: 2153-2162 - [c51]Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner:
Do NLP Models Know Numbers? Probing Numeracy in Embeddings. EMNLP/IJCNLP (1) 2019: 5306-5314 - [c50]Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh:
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems. HotEdgeVideo@MobiCom 2019: 21-26 - [c49]William Yang Wang, Sameer Singh, Jiwei Li:
Deep Adversarial Learning for NLP. NAACL-HLT (Tutorial Abstracts) 2019: 1-5 - [c48]Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian:
PoMo: Generating Entity-Specific Post-Modifiers in Context. NAACL-HLT (1) 2019: 826-838 - [c47]Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. NAACL-HLT (1) 2019: 2368-2378 - [c46]Ananya, Nitya Parthasarthi, Sameer Singh:
GenderQuant: Quantifying Mention-Level Genderedness. NAACL-HLT (1) 2019: 2959-2969 - [c45]Pouya Pezeshkpour, Yifan Tian, Sameer Singh:
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications. NAACL-HLT (1) 2019: 3336-3347 - [i34]Sanjay Subramanian, Sameer Singh, Matt Gardner:
Analyzing Compositionality in Visual Question Answering. ViGIL@NeurIPS 2019 - [i33]Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. CoRR abs/1903.00161 (2019) - [i32]Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian:
PoMo: Generating Entity-Specific Post-Modifiers in Context. CoRR abs/1904.03111 (2019) - [i31]Pouya Pezeshkpour, Yifan Tian, Sameer Singh:
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications. CoRR abs/1905.00563 (2019) - [i30]Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer:
Compositional Questions Do Not Necessitate Multi-hop Reasoning. CoRR abs/1906.02900 (2019) - [i29]Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh:
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling. CoRR abs/1906.07241 (2019) - [i28]Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh:
Universal Adversarial Triggers for NLP. CoRR abs/1908.07125 (2019) - [i27]Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith:
Knowledge Enhanced Contextual Word Representations. CoRR abs/1909.04164 (2019) - [i26]Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner:
Do NLP Models Know Numbers? Probing Numeracy in Embeddings. CoRR abs/1909.07940 (2019) - [i25]Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh:
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. CoRR abs/1909.09251 (2019) - [i24]Zhengli Zhao, Nicolas Papernot, Sameer Singh, Neoklis Polyzotis, Augustus Odena:
Improving Differentially Private Models with Active Learning. CoRR abs/1910.01177 (2019) - [i23]Forough Arabshahi, Zhichu Lu, Sameer Singh, Animashree Anandkumar:
Memory Augmented Recursive Neural Networks. CoRR abs/1911.01545 (2019) - [i22]Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju:
How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods. CoRR abs/1911.02508 (2019) - [i21]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. CoRR abs/1912.04971 (2019) - [i20]Piyush Gupta, Nikaash Puri, Sukriti Verma, Dhruv Kayastha, Shripad V. Deshmukh, Balaji Krishnamurthy, Sameer Singh:
Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency. CoRR abs/1912.12191 (2019) - [i19]Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner:
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension. CoRR abs/1912.12598 (2019) - 2018
- [j4]Yanbing Bai, Chang Gao, Sameer Singh, Magaly Koch, Bruno Adriano, Erick Mas, Shunichi Koshimura:
A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks. IEEE Geosci. Remote. Sens. Lett. 15(1): 43-47 (2018) - [c44]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Anchors: High-Precision Model-Agnostic Explanations. AAAI 2018: 1527-1535 - [c43]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Semantically Equivalent Adversarial Rules for Debugging NLP models. ACL (1) 2018: 856-865 - [c42]Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel:
Interpretation of Natural Language Rules in Conversational Machine Reading. EMNLP 2018: 2087-2097 - [c41]Pouya Pezeshkpour, Liyan Chen, Sameer Singh:
Embedding Multimodal Relational Data for Knowledge Base Completion. EMNLP 2018: 3208-3218 - [c40]Forough Arabshahi, Sameer Singh, Animashree Anandkumar:
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs. ICLR (Poster) 2018 - [c39]Zhengli Zhao, Dheeru Dua, Sameer Singh:
Generating Natural Adversarial Examples. ICLR (Poster) 2018 - [c38]Jay Pujara, Sameer Singh:
Mining Knowledge Graphs From Text. WSDM 2018: 789-790 - [i18]Forough Arabshahi, Sameer Singh, Animashree Anandkumar:
Combining Symbolic and Function Evaluation Expressions In Neural Programs. CoRR abs/1801.04342 (2018) - [i17]Pouya Pezeshkpour, Carlos Guestrin, Sameer Singh:
Compact Factorization of Matrices Using Generalized Round-Rank. CoRR abs/1805.00184 (2018) - [i16]Pouya Pezeshkpour, Liyan Chen, Sameer Singh:
Embedding Multimodal Relational Data for Knowledge Base Completion. CoRR abs/1809.01341 (2018) - [i15]Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel:
Interpretation of Natural Language Rules in Conversational Machine Reading. CoRR abs/1809.01494 (2018) - 2017
- [c37]Igor Burago, Davide Callegaro, Marco Levorato, Sameer Singh:
Intelligent data filtering in constrained IoT systems. ACSSC 2017: 928-935 - [c36]Robert L. Logan IV, Samuel Humeau, Sameer Singh:
Multimodal Attribute Extraction. AKBC@NIPS 2017 - [c35]Pouya Pezeshkpour, Liyan Chen, Sameer Singh:
Embedding Multimodal Relational Data. AKBC@NIPS 2017 - [c34]Forest Agostinelli, Guillaume Hocquet, Sameer Singh, Pierre Baldi:
From Reinforcement Learning to Deep Reinforcement Learning: An Overview. Braverman Readings in Machine Learning 2017: 298-328 - [c33]Nitish Gupta, Sameer Singh, Dan Roth:
Entity Linking via Joint Encoding of Types, Descriptions, and Context. EMNLP 2017: 2681-2690 - [c32]Igor Burago, Marco Levorato, Sameer Singh:
Semantic compression for edge-assisted systems. ITA 2017: 1-7 - [i14]Igor Burago, Marco Levorato, Sameer Singh:
Semantic Compression for Edge-Assisted Systems. CoRR abs/1702.05863 (2017) - [i13]Parisa Kordjamshidi, Sameer Singh, Daniel Khashabi, Christos Christodoulopoulos, Mark Sammons, Saurabh Sinha, Dan Roth:
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks. CoRR abs/1707.07794 (2017) - [i12]Zhengli Zhao, Dheeru Dua, Sameer Singh:
Generating Natural Adversarial Examples. CoRR abs/1710.11342 (2017) - [i11]Robert L. Logan IV, Samuel Humeau, Sameer Singh:
Multimodal Attribute Extraction. CoRR abs/1711.11118 (2017) - 2016
- [c31]Sameer Singh, Sebastian Riedel:
Creating Interactive and Visual Educational Resources for AI. AAAI 2016: 4101-4106 - [c30]Hannah Rashkin, Sameer Singh, Yejin Choi:
Connotation Frames: A Data-Driven Investigation. ACL (1) 2016 - [c29]Parisa Kordjamshidi, Daniel Khashabi, Christos Christodoulopoulos, Bhargav Mangipudi, Sameer Singh, Dan Roth:
Better call Saul: Flexible Programming for Learning and Inference in NLP. COLING 2016: 3030-3040 - [c28]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. KDD 2016: 1135-1144 - [c27]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. HLT-NAACL Demos 2016: 97-101 - [e2]Jay Pujara, Tim Rocktäschel, Danqi Chen, Sameer Singh:
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, AKBC@NAACL-HLT 2016, San Diego, CA, USA, June 17, 2016. The Association for Computer Linguistics 2016, ISBN 978-1-941643-53-2 [contents] - [i10]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. CoRR abs/1602.04938 (2016) - [i9]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Model-Agnostic Interpretability of Machine Learning. CoRR abs/1606.05386 (2016) - [i8]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance. CoRR abs/1611.05817 (2016) - [i7]Sameer Singh, Marco Túlio Ribeiro, Carlos Guestrin:
Programs as Black-Box Explanations. CoRR abs/1611.07579 (2016) - 2015
- [j3]Xiao Ling, Sameer Singh, Daniel S. Weld:
Design Challenges for Entity Linking. Trans. Assoc. Comput. Linguistics 3: 315-328 (2015) - [c26]Guillaume Bouchard, Sameer Singh, Théo Trouillon:
On Approximate Reasoning Capabilities of Low-Rank Vector Spaces. AAAI Spring Symposia 2015 - [c25]Vicente Iván Sánchez Carmona, Tim Rocktäschel, Sebastian Riedel, Sameer Singh:
Towards Extracting Faithful and Descriptive Representations of Latent Variable Models. AAAI Spring Symposia 2015 - [c24]Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin:
Efficient Second-Order Gradient Boosting for Conditional Random Fields. AISTATS 2015 - [c23]Sameer Singh, Tim Rocktäschel, Luke Hewitt, Jason Naradowsky, Sebastian Riedel:
WOLFE: An NLP-friendly Declarative Machine Learning Stack. HLT-NAACL 2015: 61-65 - [c22]Sameer Singh, Tim Rocktäschel, Sebastian Riedel:
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction. VS@HLT-NAACL 2015: 135-142 - [c21]Tim Rocktäschel, Sameer Singh, Sebastian Riedel:
Injecting Logical Background Knowledge into Embeddings for Relation Extraction. HLT-NAACL 2015: 1119-1129 - [c20]Sebastian Riedel, Sameer Singh, Guillaume Bouchard, Tim Rocktäschel, Vicente Iván Sánchez Carmona:
Towards Two-Way Interaction with Reading Machines. SLSP 2015: 1-7 - [i6]Nitish Gupta, Sameer Singh:
Collectively Embedding Multi-Relational Data for Predicting User Preferences. CoRR abs/1504.06165 (2015) - [i5]Hannah Rashkin, Sameer Singh, Yejin Choi:
Connotation Frames: Typed Relations of Implied Sentiment in Predicate-Argument Structure. CoRR abs/1506.02739 (2015) - 2014
- [c19]Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktäschel, Larysa Visengeriyeva, Jan Noessner:
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. StarAI@AAAI 2014 - [c18]Ignacio Cano, Sameer Singh, Carlos Guestrin:
Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014. TREC 2014 - 2013
- [c17]Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng, Andrew McCallum:
Joint inference of entities, relations, and coreference. AKBC@CIKM 2013: 1-6 - [c16]Michael L. Wick, Sameer Singh, Ari Kobren, Andrew McCallum:
Assessing confidence of knowledge base content with an experimental study in entity resolution. AKBC@CIKM 2013: 13-18 - [c15]Michael L. Wick, Sameer Singh, Harshal Pandya, Andrew McCallum:
A joint model for discovering and linking entities. AKBC@CIKM 2013: 67-72 - [c14]Sameer Singh, Thore Graepel:
Automated probabilistic modeling for relational data. CIKM 2013: 1497-1500 - [c13]Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar:
AKBC 2013: third workshop on automated knowledge base construction. CIKM 2013: 2539-2540 - [c12]Jiaping Zheng, Luke Vilnis, Sameer Singh, Jinho D. Choi, Andrew McCallum:
Dynamic Knowledge-Base Alignment for Coreference Resolution. CoNLL 2013: 153-162 - [e1]Fabian M. Suchanek, Sebastian Riedel, Sameer Singh, Partha Pratim Talukdar:
Proceedings of the 2013 workshop on Automated knowledge base construction, AKBC@CIKM 13, San Francisco, California, USA, October 27-28, 2013. ACM 2013, ISBN 978-1-4503-2411-3 [contents] - [i4]Sameer Singh, Limin Yao, David Belanger, Ari Kobren, Sam Anzaroot, Mike Wick, Alexandre Passos, Harshal Pandya, Jinho D. Choi, Brian Martin, Andrew McCallum:
Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013. TAC 2013 - [i3]Sameer Singh, Sebastian Riedel, Andrew McCallum:
Anytime Belief Propagation Using Sparse Domains. CoRR abs/1311.3368 (2013) - 2012
- [c11]Michael L. Wick, Sameer Singh, Andrew McCallum:
A Discriminative Hierarchical Model for Fast Coreference at Large Scale. ACL (1) 2012: 379-388 - [c10]Sameer Singh, Michael L. Wick, Andrew McCallum:
Monte Carlo MCMC: Efficient Inference by Approximate Sampling. EMNLP-CoNLL 2012: 1104-1113 - [c9]Sameer Singh, Michael L. Wick, Andrew McCallum:
Monte Carlo MCMC: Efficient Inference by Sampling Factors. AKBC-WEKEX@NAACL-HLT 2012: 111-115 - [i2]Sameer Singh, Thore Graepel:
Compiling Relational Database Schemata into Probabilistic Graphical Models. CoRR abs/1212.0967 (2012) - 2011
- [c8]Sameer Singh, Amarnag Subramanya, Fernando C. N. Pereira, Andrew McCallum:
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models. ACL 2011: 793-803 - 2010
- [c7]Sameer Singh, Dustin Hillard, Chris Leggetter:
Minimally-Supervised Extraction of Entities from Text Advertisements. HLT-NAACL 2010: 73-81 - [c6]Sameer Singh, Limin Yao, Sebastian Riedel, Andrew McCallum:
Constraint-Driven Rank-Based Learning for Information Extraction. HLT-NAACL 2010: 729-732 - [i1]Sameer Singh, Michael L. Wick, Andrew McCallum:
Distantly Labeling Data for Large Scale Cross-Document Coreference. CoRR abs/1005.4298 (2010)
2000 – 2009
- 2009
- [c5]Andrew McCallum, Karl Schultz, Sameer Singh:
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs. NIPS 2009: 1249-1257 - [c4]Michael L. Wick, Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum:
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference. NIPS 2009: 2044-2052 - [c3]Sameer Singh, Karl Schultz, Andrew McCallum:
Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs. ECML/PKDD (2) 2009: 414-429 - [c2]Sameer Singh, Jeremy Kubica, Scott Larsen, Daria Sorokina:
Parallel Large Scale Feature Selection for Logistic Regression. SDM 2009: 1172-1183 - 2007
- [j2]Dror G. Feitelson, Tokunbo O. S. Adeshiyan, Daniel Balasubramanian, Yoav Etsion, Gabor Madl, Esteban Osses, Sameer Singh, Karlkim Suwanmongkol, Minhui Xie, Stephen R. Schach:
Fine-grain analysis of common coupling and its application to a Linux case study. J. Syst. Softw. 80(8): 1239-1255 (2007) - [j1]Stephen R. Schach, Tokunbo O. S. Adeshiyan, Daniel Balasubramanian, Gabor Madl, Esteban Osses, Sameer Singh, Karlkim Suwanmongkol, Minhui Xie, Dror G. Feitelson:
Common coupling and pointer variables, with application to a Linux case study. Softw. Qual. J. 15(1): 99-113 (2007) - 2006
- [c1]Sameer Singh, Julie A. Adams:
Transfer of Learning for Complex Task Domains: a Demonstration using Multiple Robots. ICRA 2006: 3332-3337
Coauthor Index
[c113] [i84] [c105] [c104] [c103] [c102] [c100] [i72] [i71] [i70] [i63] [c95] [c91] [c90] [c89] [c87] [i60] [i58] [i57] [i56] [i50] [c78] [c77] [c75] [c74] [c70] [c69] [c67] [c65] [c63] [i44] [i43] [i39] [i37] [c60] [c59] [c57] [c56] [c54] [c52] [c51] [c47] [i34] [i33] [i30] [i29] [i28] [i26] [i25] [i21] [i19]
Hannaneh Hajishirzi
aka: Hanna Hajishirzi
aka: Hanna Hajishirzi
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