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)

MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning WACV 2024 Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation NeurIPS 2024 Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP EMNLP 2024 MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation EMNLP 2024 MGit: A Model Versioning and Management System ICML 2024 MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis ICML 2024 MICo: Preventative Detoxification of Large Language Models through Inhibition Control NAACL 2024 MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence NeurIPS 2024 MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data ICML 2024 MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages NeurIPS 2024 MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding EMNLP 2024 MIND: Multi-Task Incremental Network Distillation AAAI 2024 Mind’s Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models NAACL 2024 Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary ICML 2024 Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making NeurIPS 2024 Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors AISTATS 2024 Mind the Graph When Balancing Data for Fairness or Robustness NeurIPS 2024 MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention NeurIPS 2024 MiniCache: KV Cache Compression in Depth Dimension for Large Language Models NeurIPS 2024 Mini-DA: Improving Your Model Performance through Minimal Data Augmentation using LLM NAACL 2024 MiniLLM: Knowledge Distillation of Large Language Models ICLR 2024 Minimal Distillation Schedule for Extreme Language Model Compression EACL 2024 Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods ICLR 2024 Minimax Risk Classifiers for Mislabeled Data: a Study on Patient Outcome Prediction Tasks MLHC 2024 Minimizing f-Divergences by Interpolating Velocity Fields ICML 2024