Interpretability
8,292 papers
Papers per year
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28
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204
363
512
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1,001
1,688
2,137
671
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Papers
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
NAACL 2021
Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation
ICCV 2021
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments
AAAI 2021
TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks
ICLR 2021
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
EMNLP 2021
tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets
NAACL 2021
Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition
ACL 2021
Uncertainty-Driven Loss for Single Image Super-Resolution
NeurIPS 2021
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
ICLR 2021
Uncertainty Estimation in Autoregressive Structured Prediction
ICLR 2021
Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning
ACL 2021
Understanding and Interpreting the Impact of User Context in Hate Speech Detection
NAACL 2021
Understanding Clinical Collaborations Through Federated Classifier Selection
MLHC 2021
Understanding Failures of Deep Networks via Robust Feature Extraction
CVPR 2021
Understanding Instance-based Interpretability of Variational Auto-Encoders
NeurIPS 2021
Understanding Interlocking Dynamics of Cooperative Rationalization
NeurIPS 2021
Understanding Patterns of Anorexia Manifestations in Social Media Data with Deep Learning
NAACL 2021
Understanding Pre-Editing for Black-Box Neural Machine Translation
EACL 2021
Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries
CoNLL 2021
Unified Dual-view Cognitive Model for Interpretable Claim Verification
ACL 2021
Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering
ACL 2021
User Driven Model Adjustment via Boolean Rule Explanations
AAAI 2021
Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots
IJCAI 2021
Variation and generality in encoding of syntactic anomaly information in sentence embeddings
EMNLP 2021
Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing
CVPR 2021