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)

OAM-TCD: A globally diverse dataset of high-resolution tree cover maps NeurIPS 2024 OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NeurIPS 2024 Oasis: Data Curation and Assessment System for Pretraining of Large Language Models IJCAI 2024 Object-Aware Domain Generalization for Object Detection AAAI 2024 ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection NAACL 2024 Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm EMNLP 2024 OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer IJCAI 2024 ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models ICML 2024 ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting CVPR 2024 Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation NeurIPS 2024 Offline Behavior Distillation NeurIPS 2024 Offline-to-Online Knowledge Distillation for Video Instance Segmentation WACV 2024 OffsetBias: Leveraging Debiased Data for Tuning Evaluators EMNLP 2024 Okay, Let’s Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation NAACL 2024 OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems EMNLP 2024 OmniGlue: Generalizable Feature Matching with Foundation Model Guidance CVPR 2024 Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency AAAI 2024 OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models ICLR 2024 OMPO: A Unified Framework for RL under Policy and Dynamics Shifts ICML 2024 On f-Divergence Principled Domain Adaptation: An Improved Framework NeurIPS 2024 On Adversarial Training without Perturbing all Examples ICLR 2024 On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024