Name
Affiliation
Papers
SAMEER SINGH
University of Massachusetts, Amherst, MA, USA
106
Collaborators
Citations 
PageRank 
236
1060
71.63
Referers 
Referees 
References 
3241
1366
764
Search Limit
1001000
Title
Citations
PageRank
Year
Zero- and Few-Shot NLP with Pretrained Language Models.00.342022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts00.342022
PYLON: A PyTorch Framework for Learning with Constraints.00.342022
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension10.402022
FRUIT: Faithfully Reflecting Updated Information in Text00.342022
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing00.342022
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models00.342022
Combining Feature and Instance Attribution to Detect Artifacts00.342022
Paired Examples as Indirect Supervision in Latent Decision Models.00.342021
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability.00.342021
Competency Problems - On Finding and Removing Artifacts in Language Data.00.342021
Generative Context Pair Selection for Multi-hop Question Answering.00.342021
Pylon: A PyTorch Framework for Learning with Constraints.00.342021
Calibrate Before Use: Improving Few-Shot Performance of Language Models00.342021
Improved Consistency Regularization For Gans00.342021
Concealed Data Poisoning Attacks on NLP Models00.342021
Beyond Accuracy - Behavioral Testing of NLP Models with Checklist (Extended Abstract).00.342021
Learning with Instance Bundles for Reading Comprehension.00.342021
COVIDLies - Detecting COVID-19 Misinformation on Social Media.30.592020
Revisiting Evaluation of Knowledge Base Completion Models10.342020
Tweeki - Linking Named Entities on Twitter to a Knowledge Graph.00.342020
Minecraft As A Platform For Project-Based Learning In Ai00.342020
MedICaT: A Dataset of Medical Images, Captions, and Textual References00.342020
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.00.342020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList10.362020
Interpreting Predictions of NLP Models.00.342020
Benefits of Intermediate Annotations in Reading Comprehension10.352020
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics.00.342020
Evaluating Models' Local Decision Boundaries via Contrast Sets.00.342020
Gradient-based Analysis of NLP Models is Manipulable00.342020
Obtaining Faithful Interpretations from Compositional Neural Networks00.342020
Neural Module Networks for Reasoning over Text10.352020
Fooling LIME and SHAP - Adversarial Attacks on Post hoc Explanation Methods.40.422020
Evaluating Question Answering Evaluation00.342019
Analyzing Compositionality in Visual Question Answering.00.342019
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.40.392019
Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.00.342019
GenderQuant: Quantifying Mention-Level Genderedness.00.342019
Comprehensive Multi-Dataset Evaluation of Reading Comprehension.00.342019
PoMo: Generating Entity-Specific Post-Modifiers in Context.00.342019
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems40.402019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings20.382019
Knowledge Enhanced Contextual Word Representations90.542019
Deep Adversarial Learning for NLP.00.342019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models00.342019
Universal Adversarial Triggers for Attacking and Analyzing NLP100.582019
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications.00.342019
Compact Factorization of Matrices Using Generalized Round-Rank.00.342018
Embedding Multimodal Relational Data for Knowledge Base Completion.50.392018
A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks.50.512018
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