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

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1,828

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Papers (including subtopics)

Discovering and Mitigating Visual Biases through Keyword Explanation CVPR 2024 Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation EMNLP 2024 Discovering Environments with XRM ICML 2024 Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition AAAI 2024 Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution ICML 2024 Discrete Latent Perspective Learning for Segmentation and Detection ICML 2024 Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning AAAI 2024 Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation CVPR 2024 Discriminative Probing and Tuning for Text-to-Image Generation CVPR 2024 Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning CVPR 2024 Discriminator-Free Unsupervised Domain Adaptation for Multi-Label Image Classification WACV 2024 Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization ICML 2024 Disentangled Prompt Representation for Domain Generalization CVPR 2024 Disentangled Representation Learning for Environment-agnostic Speaker Recognition Interspeech 2024 Disentangled Style Domain for Implicit z-Watermark Towards Copyright Protection NeurIPS 2024 Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness ACL 2024 Disentangling Domain and General Representations for Time Series Classification IJCAI 2024 Disentangling Length from Quality in Direct Preference Optimization ACL 2024 Disentangling Questions from Query Generation for Task-Adaptive Retrieval EMNLP 2024 Disguise without Disruption: Utility-Preserving Face De-identification AAAI 2024 Disparate Impact on Group Accuracy of Linearization for Private Inference ICML 2024 Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 Dissecting Biases in Relation Extraction: A Cross-Dataset Analysis on People’s Gender and Origin ACL 2024 Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024