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)

Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework NeurIPS 2024 Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain CVPR 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NeurIPS 2024 Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections NeurIPS 2024 Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition IJCAI 2024 Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling AAAI 2024 Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting ICLR 2024 Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation ECCV 2024 Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic EMNLP 2024 Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction ICLR 2024 Enhancing the General Agent Capabilities of Low-Paramter LLMs through Tuning and Multi-Branch Reasoning NAACL 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024 Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation ICLR 2024 Enhancing Translation Quality: A Comparative Study of Fine-Tuning and Prompt Engineering in Dialog-Oriented Machine Translation Systems. Insights from the MULTITAN-GML Team EMNLP 2024 Enhancing Vision-Language Pre-training with Rich Supervisions CVPR 2024 Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation CoRL 2024 Enhancing Voice Wake-Up for Dysarthria: Mandarin Dysarthria Speech Corpus Release and Customized System Design Interspeech 2024 ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data JMLR 2024 EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature NeurIPS 2024 Enriching a Time-Domain Astrophysics Corpus with Named Entity, Coreference and Astrophysical Relationship Annotations COLING 2024 Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition Interspeech 2024 Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration NeurIPS 2024 Ensemble Pruning for Out-of-distribution Generalization ICML 2024