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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330

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1,828

2,498

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3,854

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6,422

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1,666

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Papers (including subtopics)

Pre-training Differentially Private Models with Limited Public Data NeurIPS 2024 Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection ECCV 2024 Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance AAAI 2024 PRewrite: Prompt Rewriting with Reinforcement Learning ACL 2024 Pricing and Competition for Generative AI NeurIPS 2024 PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation EACL 2024 Principled Architecture-aware Scaling of Hyperparameters ICLR 2024 Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting ICLR 2024 Principles for AI-Assisted Social Influence and Their Application to Social Mediation EMNLP 2024 Principles from Clinical Research for NLP Model Generalization NAACL 2024 Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NeurIPS 2024 Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis ICML 2024 PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024 Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs NeurIPS 2024 PRISM: A New Lens for Improved Color Understanding EMNLP 2024 Privacy Attacks in Decentralized Learning ICML 2024 Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NeurIPS 2024 Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients AISTATS 2024 Privacy-Enhancing Person Re-Identification Framework - A Dual-Stage Approach WACV 2024 Privacy Evaluation Benchmarks for NLP Models EMNLP 2024 PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NeurIPS 2024 Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization Interspeech 2024 Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent ICML 2024 Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024 Privacy-Preserving Face Recognition Using Trainable Feature Subtraction CVPR 2024