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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24

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35

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142

116

147

330

517

1,020

1,828

2,498

3,411

3,854

5,063

6,422

7,176

1,666

2000

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Papers (including subtopics)

Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning IJCAI 2024 Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation COLING 2024 Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NeurIPS 2024 Enhancing Evolving Domain Generalization through Dynamic Latent Representations AAAI 2024 Enhancing Explainable Rating Prediction through Annotated Macro Concepts ACL 2024 Enhancing Graph Transformers with Hierarchical Distance Structural Encoding NeurIPS 2024 Enhancing Group Fairness in Online Settings Using Oblique Decision Forests ICLR 2024 Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024 Enhancing Healthcare Predictions with Deep Learning Models AAAI 2024 Enhancing High-order Interaction Awareness in LLM-based Recommender Model EMNLP 2024 Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NeurIPS 2024 Enhancing Incremental Summarization with Structured Representations EMNLP 2024 Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair CVPR 2024 Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstruction EMNLP 2024 Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs EMNLP 2024 Enhancing Legal Expertise in Large Language Models through Composite Model Integration: The Development and Evaluation of Law-Neo EMNLP 2024 Enhancing LLM Capabilities Beyond Scaling Up EMNLP 2024 Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study ACL 2024 Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages ACL 2024 Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning AAAI 2024 Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling WACV 2024 Enhancing Neural Machine Translation for Ainu-Japanese: A Comprehensive Study on the Impact of Domain and Dialect Integration EMNLP 2024 Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting ICLR 2024 Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024 Enhancing Post-training Quantization Calibration through Contrastive Learning CVPR 2024