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07/20/2023
Identifying Interpretable Subspaces in Image Representations
We propose Automatic Feature Explanation using Contrasting Concepts (FAL...
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06/30/2023
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning
Large language models show impressive results on few-shot NLP tasks. How...
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04/04/2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning
Recently, self-supervised learning (SSL) was shown to be vulnerable to p...
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10/14/2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Personalized text generation has broad industrial applications, such as ...
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07/02/2022
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales
Free-text rationales aim to explain neural language model (LM) behavior ...
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05/25/2022
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models
Neural language models' (NLMs') reasoning processes are notoriously hard...
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04/12/2022
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem
We propose an autoregressive entity linking model, that is trained with ...
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03/03/2022
Understanding Failure Modes of Self-Supervised Learning
Self-supervised learning methods have shown impressive results in downst...
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12/31/2021
BARACK: Partially Supervised Group Robustness With Guarantees
While neural networks have shown remarkable success on classification ta...
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12/27/2021
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision
Using natural language as a supervision for training visual recognition ...
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12/16/2021
UniREx: A Unified Learning Framework for Language Model Rationale Extraction
An extractive rationale explains a language model's (LM's) prediction on...
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04/25/2021
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in...
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03/13/2021
A Survey on Multimodal Disinformation Detection
Recent years have witnessed the proliferation of fake news, propaganda, ...
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01/06/2021
Modality-specific Distillation
Large neural networks are impractical to deploy on mobile devices due to...
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11/25/2020
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption
This work examines the vulnerability of multimodal (image + text) models...
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05/10/2020
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
This work proposes a new challenge set for multimodal classification, fo...
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09/06/2019