Interpretability
8,292 papers
Papers per year
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28
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204
363
512
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1,688
2,137
671
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Papers
Unmasking the Hidden Meaning: Bridging Implicit and Explicit Hate Speech Embedding Representations
EMNLP 2023
Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
EMNLP 2023
Unnatural language processing: How do language models handle machine-generated prompts?
EMNLP 2023
Unsupervised argument reframing with a counterfactual-based approach
EMNLP 2023
Unsupervised Explanation Generation via Correct Instantiations
AAAI 2023
Unsupervised Keyphrase Extraction via Interpretable Neural Networks
EACL 2023
Unsupervised Selective Rationalization with Noise Injection
ACL 2023
Unveiling Concepts Learned by a World-Class Chess-Playing Agent
IJCAI 2023
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
AAAI 2023
Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization
EMNLP 2023
UO-LouTAL at SemEval-2023 Task 6: Lightweight Systems for Legal Processing
SemEval 2023
Use perturbations when learning from explanations
NeurIPS 2023
Using Captum to Explain Generative Language Models
EMNLP 2023
Using Interpretation Methods for Model Enhancement
EMNLP 2023
Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection
Interspeech 2023
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis
ACL 2023
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
ICLR 2023
Variable-Based Calibration for Machine Learning Classifiers
AAAI 2023
Variational Information Pursuit for Interpretable Predictions
ICLR 2023
VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights
EMNLP 2023
Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number
EMNLP 2023
VeriX: Towards Verified Explainability of Deep Neural Networks
NeurIPS 2023
Very Fast, Approximate Counterfactual Explanations for Decision Forests
AAAI 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
NeurIPS 2023
ViperGPT: Visual Inference via Python Execution for Reasoning
ICCV 2023