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)

Demystifying Poisoning Backdoor Attacks from a Statistical Perspective ICLR 2024 Demystifying Verbatim Memorization in Large Language Models EMNLP 2024 DeNetDM: Debiasing by Network Depth Modulation NeurIPS 2024 DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING ICLR 2024 Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model NeurIPS 2024 DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception NeurIPS 2024 Dense Passage Retrieval: Is it Retrieving? EMNLP 2024 Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds CVPR 2024 Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation AAAI 2024 Density Ratio Estimation with Doubly Strong Robustness ICML 2024 Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024 Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts ICML 2024 Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria AAAI 2024 DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism NeurIPS 2024 DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning ICLR 2024 Depth Anything V2 NeurIPS 2024 Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation NeurIPS 2024 Depth-Aware Blind Image Decomposition for Real-World Adverse Weather Recovery ECCV 2024 Depth-aware Test-Time Training for Zero-shot Video Object Segmentation CVPR 2024 Derandomizing Multi-Distribution Learning NeurIPS 2024 DeRDaVa: Deletion-Robust Data Valuation for Machine Learning AAAI 2024 Derivative-enhanced Deep Operator Network NeurIPS 2024 Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories IJCAI 2024 Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning CVPR 2024 Desiderata For The Context Use Of Question Answering Systems EACL 2024