conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

1

3

5

5

4

19

24

28

26

35

42

55

142

116

147

330

517

1,020

1,828

2,498

3,411

3,854

5,063

6,422

7,176

1,666

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble EMNLP 2024 Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations NAACL 2024 Deceptive Fairness Attacks on Graphs via Meta Learning ICLR 2024 Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024 Decision-Focused Model-based Reinforcement Learning for Reward Transfer MLHC 2024 DECM: Evaluating Bilingual ASR Performance on a Code-switching/mixing Benchmark COLING 2024 DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release NeurIPS 2024 Decodable and Sample Invariant Continuous Object Encoder ICLR 2024 DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations MIDL 2024 Decoding Ableism in Large Language Models: An Intersectional Approach EMNLP 2024 Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs COLING 2024 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024 Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024 Decomposing and Editing Predictions by Modeling Model Computation ICML 2024 De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024 De-Confusing Pseudo-Labels in Source-Free Domain Adaptation ECCV 2024 Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models ACL 2024 DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models EMNLP 2024 Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024 Decoupled Kullback-Leibler Divergence Loss NeurIPS 2024 Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning AAAI 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024 DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models NAACL 2024 DeepCache: Accelerating Diffusion Models for Free CVPR 2024