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

1,652

3,233

5,368

6,434

7,726

8,506

9,951

12,524

14,487

6,029

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Papers (including subtopics)

VACE: All-in-One Video Creation and Editing ICCV 2025 VADE: Visual Attention Guided Hallucination Detection and Elimination ACL 2025 VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning UAI 2025 VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation Extraction COLING 2025 VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology ICLR 2025 VAFlow: Video-to-Audio Generation with Cross-Modality Flow Matching ICCV 2025 Validating Mechanistic Interpretations: An Axiomatic Approach ICML 2025 Valid Conformal Prediction for Dynamic GNNs ICLR 2025 VaLID: Variable-Length Input Diffusion for Novel View Synthesis WACV 2025 Value Portrait: Assessing Language Models’ Values through Psychometrically and Ecologically Valid Items ACL 2025 Value Residual Learning ACL 2025 Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts ACL 2025 Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers ICCV 2025 VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025 VAQUUM: Are Vague Quantifiers Grounded in Visual Data? ACL 2025 VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval AAAI 2025 VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting AAAI 2025 Variable Extraction for Model Recovery in Scientific Literature NAACL 2025 Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025 Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models ICML 2025 Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits AISTATS 2025 Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025 Variance-Based Pruning for Accelerating and Compressing Trained Networks ICCV 2025 Variance Sensitivity Induces Attention Entropy Collapse and Instability in Transformers EMNLP 2025 Variational Bayesian Pseudo-Coreset ICLR 2025