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)

Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset Interspeech 2024 Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation NeurIPS 2024 Propensity Score Alignment of Unpaired Multimodal Data NeurIPS 2024 Prophecy Distillation for Boosting Abstractive Summarization COLING 2024 Proportional Aggregation of Preferences for Sequential Decision Making AAAI 2024 Proportional Fairness in Non-Centroid Clustering NeurIPS 2024 Proportional Representation in Metric Spaces and Low-Distortion Committee Selection AAAI 2024 ProS: Facial Omni-Representation Learning via Prototype-Based Self-Distillation WACV 2024 Prosody-Driven Privacy-Preserving Dementia Detection Interspeech 2024 Prosody of speech production in latent post-stroke aphasia Interspeech 2024 ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval CVPR 2024 Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach NeurIPS 2024 Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage IJCAI 2024 Protecting Privacy in Classifiers by Token Manipulation ACL 2024 Protecting Split Learning by Potential Energy Loss IJCAI 2024 Protect Your Score: Contact-Tracing with Differential Privacy Guarantees AAAI 2024 Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models ICLR 2024 Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency ICML 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction ICLR 2024 ProTransformer: Robustify Transformers via Plug-and-Play Paradigm NeurIPS 2024 Provable Benefit of Cutout and CutMix for Feature Learning NeurIPS 2024 Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective ICML 2024 Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains AISTATS 2024 Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret ICML 2024