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

2,498

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6,422

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1,666

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Papers (including subtopics)

Attentive Prototypes for Source-Free Unsupervised Domain Adaptive 3D Object Detection WACV 2024 AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios ICML 2024 Attribute Diversity Determines the Systematicity Gap in VQA EMNLP 2024 Attribution Quality Metrics with Magnitude Alignment IJCAI 2024 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024 A Two-Step Approach for Data-Efficient French Pronunciation Learning EMNLP 2024 AUC Maximization under Positive Distribution Shift NeurIPS 2024 Audio Generation with Multiple Conditional Diffusion Model AAAI 2024 Auditing Fairness under Unobserved Confounding AISTATS 2024 Auditing Local Explanations is Hard NeurIPS 2024 Auditing Privacy Mechanisms via Label Inference Attacks NeurIPS 2024 Auditory Spatial Attention Detection Based on Feature Disentanglement and Brain Connectivity-Informed Graph Neural Networks Interspeech 2024 AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images ICLR 2024 AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation ICLR 2024 Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering EMNLP 2024 Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models WACV 2024 A Unified Approach to Multilingual Automatic Speech Recognition with Improved Language Identification for Indic Languages Interspeech 2024 A Unified Characterization of Private Learnability via Graph Theory COLT 2024 A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks NeurIPS 2024 A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models EMNLP 2024 A Unified Framework for 3D Scene Understanding NeurIPS 2024 A Unified Framework for Model Editing EMNLP 2024 A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities AAAI 2024 A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NeurIPS 2024 Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks ICML 2024