Zero- and Few-Shot NLP with Pretrained Language Models. | 0 | 0.34 | 2022 |
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts | 0 | 0.34 | 2022 |
PYLON: A PyTorch Framework for Learning with Constraints. | 0 | 0.34 | 2022 |
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension | 1 | 0.40 | 2022 |
FRUIT: Faithfully Reflecting Updated Information in Text | 0 | 0.34 | 2022 |
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing | 0 | 0.34 | 2022 |
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models | 0 | 0.34 | 2022 |
Combining Feature and Instance Attribution to Detect Artifacts | 0 | 0.34 | 2022 |
Paired Examples as Indirect Supervision in Latent Decision Models. | 0 | 0.34 | 2021 |
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability. | 0 | 0.34 | 2021 |
Competency Problems - On Finding and Removing Artifacts in Language Data. | 0 | 0.34 | 2021 |
Generative Context Pair Selection for Multi-hop Question Answering. | 0 | 0.34 | 2021 |
Pylon: A PyTorch Framework for Learning with Constraints. | 0 | 0.34 | 2021 |
Calibrate Before Use: Improving Few-Shot Performance of Language Models | 0 | 0.34 | 2021 |
Improved Consistency Regularization For Gans | 0 | 0.34 | 2021 |
Concealed Data Poisoning Attacks on NLP Models | 0 | 0.34 | 2021 |
Beyond Accuracy - Behavioral Testing of NLP Models with Checklist (Extended Abstract). | 0 | 0.34 | 2021 |
Learning with Instance Bundles for Reading Comprehension. | 0 | 0.34 | 2021 |
COVIDLies - Detecting COVID-19 Misinformation on Social Media. | 3 | 0.59 | 2020 |
Revisiting Evaluation of Knowledge Base Completion Models | 1 | 0.34 | 2020 |
Tweeki - Linking Named Entities on Twitter to a Knowledge Graph. | 0 | 0.34 | 2020 |
Minecraft As A Platform For Project-Based Learning In Ai | 0 | 0.34 | 2020 |
MedICaT: A Dataset of Medical Images, Captions, and Textual References | 0 | 0.34 | 2020 |
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts. | 0 | 0.34 | 2020 |
Beyond Accuracy: Behavioral Testing of NLP models with CheckList | 1 | 0.36 | 2020 |
Interpreting Predictions of NLP Models. | 0 | 0.34 | 2020 |
Benefits of Intermediate Annotations in Reading Comprehension | 1 | 0.35 | 2020 |
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. | 0 | 0.34 | 2020 |
Evaluating Models' Local Decision Boundaries via Contrast Sets. | 0 | 0.34 | 2020 |
Gradient-based Analysis of NLP Models is Manipulable | 0 | 0.34 | 2020 |
Obtaining Faithful Interpretations from Compositional Neural Networks | 0 | 0.34 | 2020 |
Neural Module Networks for Reasoning over Text | 1 | 0.35 | 2020 |
Fooling LIME and SHAP - Adversarial Attacks on Post hoc Explanation Methods. | 4 | 0.42 | 2020 |
Evaluating Question Answering Evaluation | 0 | 0.34 | 2019 |
Analyzing Compositionality in Visual Question Answering. | 0 | 0.34 | 2019 |
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. | 4 | 0.39 | 2019 |
Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions. | 0 | 0.34 | 2019 |
GenderQuant: Quantifying Mention-Level Genderedness. | 0 | 0.34 | 2019 |
Comprehensive Multi-Dataset Evaluation of Reading Comprehension. | 0 | 0.34 | 2019 |
PoMo: Generating Entity-Specific Post-Modifiers in Context. | 0 | 0.34 | 2019 |
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems | 4 | 0.40 | 2019 |
Do NLP Models Know Numbers? Probing Numeracy in Embeddings | 2 | 0.38 | 2019 |
Knowledge Enhanced Contextual Word Representations | 9 | 0.54 | 2019 |
Deep Adversarial Learning for NLP. | 0 | 0.34 | 2019 |
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models | 0 | 0.34 | 2019 |
Universal Adversarial Triggers for Attacking and Analyzing NLP | 10 | 0.58 | 2019 |
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications. | 0 | 0.34 | 2019 |
Compact Factorization of Matrices Using Generalized Round-Rank. | 0 | 0.34 | 2018 |
Embedding Multimodal Relational Data for Knowledge Base Completion. | 5 | 0.39 | 2018 |
A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks. | 5 | 0.51 | 2018 |