conftrace_

Deep Learning

78,198 papers (26 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (32,670) Architectures (30,950) Models (20,488) Techniques (9,432) Optimization & Theory (7,804) Application Areas (273)

Papers per year

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859

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5,368

6,434

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9,951

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Papers (including subtopics)

Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024 Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming EMNLP 2024 Modeling Caption Diversity in Contrastive Vision-Language Pretraining ICML 2024 Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use CVPR 2024 Modeling Complex Interactions in Long Documents for Aspect-Based Sentiment Analysis ACL 2024 Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion ACL 2024 Modeling Moravian Memoirs: Ternary Sentiment Analysis in a Low Resource Setting EACL 2024 Modeling Nonnative Sentence Processing with L2 Language Models EMNLP 2024 Modeling Selective Feature Attention for Lightweight Text Matching IJCAI 2024 Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation MIDL 2024 Modeling the Real World with High-Density Visual Particle Dynamics CoRL 2024 Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs ACL 2024 Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation EMNLP 2024 Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation EMNLP 2024 Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks NeurIPS 2024 Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings ACL 2024 Modelling complex vector drawings with stroke-clouds ICLR 2024 Modelling Microbial Communities with Graph Neural Networks ICML 2024 Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning AAAI 2024 Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024 ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis ICLR 2024 MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning EMNLP 2024 Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect EACL 2024 Modular Blind Video Quality Assessment CVPR 2024 Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration EMNLP 2024