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

2,498

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Papers (including subtopics)

Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification AAAI 2024 Uncovering Stereotypes in Large Language Models: A Task Complexity-based Approach EACL 2024 Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution AAAI 2024 Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation NeurIPS 2024 Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective CVPR 2024 Understanding and Minimising Outlier Features in Transformer Training NeurIPS 2024 Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis EACL 2024 Understanding Bias in Large-Scale Visual Datasets NeurIPS 2024 Understanding “Democratization” in NLP and ML Research EMNLP 2024 Understanding Domain Generalization: A Noise Robustness Perspective ICLR 2024 Understanding Multi-Granularity for Open-Vocabulary Part Segmentation NeurIPS 2024 Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization NAACL 2024 Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation ICLR 2024 Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models ICML 2024 Understanding Retrieval Robustness for Retrieval-augmented Image Captioning ACL 2024 Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation ICML 2024 Understanding the effects of language-specific class imbalance in multilingual fine-tuning EACL 2024 Understanding the Gains from Repeated Self-Distillation NeurIPS 2024 Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data AAAI 2024 Understanding the Impacts of Language Technologies’ Performance Disparities on African American Language Speakers ACL 2024 Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift ICLR 2024 Understanding the Role of the Projector in Knowledge Distillation AAAI 2024 Understanding the Training Speedup from Sampling with Approximate Losses ICML 2024 Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates ICLR 2024 Underwater Organism Color Fine-Tuning via Decomposition and Guidance AAAI 2024