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)

Evaluating the Knowledge Base Completion Potential of GPT EMNLP 2023 Evaluation for Change ACL 2023 Evaluation of a Forensic Automatic Speaker Recognition System with Emotional Speech Recordings Interspeech 2023 Evaluation of African American Language Bias in Natural Language Generation EMNLP 2023 Evaluation of delexicalization methods for research on emotional speech Interspeech 2023 EVC: Towards Real-Time Neural Image Compression with Mask Decay ICLR 2023 Event Causality Extraction via Implicit Cause-Effect Interactions EMNLP 2023 Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers ICCV 2023 Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation ICLR 2023 Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information AAAI 2023 Evidential Interactive Learning for Medical Image Captioning ICML 2023 EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning NeurIPS 2023 Evolving Standardization for Continual Domain Generalization over Temporal Drift NeurIPS 2023 Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation NeurIPS 2023 Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity ACL 2023 Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning ACL 2023 Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains EMNLP 2023 Execution-Based Evaluation for Open-Domain Code Generation EMNLP 2023 Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking EMNLP 2023 Expanding Small-Scale Datasets with Guided Imagination NeurIPS 2023 Expansion of Visual Hints for Improved Generalization in Stereo Matching WACV 2023 Expert Data Augmentation in Imitation Learning (Student Abstract) AAAI 2023 Explainable Recommendation with Personalized Review Retrieval and Aspect Learning ACL 2023 Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation IJCAI 2023 EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification EMNLP 2023