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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3,233

5,368

6,434

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9,951

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14,487

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Papers (including subtopics)

Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection NAACL 2025 Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection AAAI 2025 Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization CVPR 2025 Compressed Image Generation with Denoising Diffusion Codebook Models ICML 2025 Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal ICCV 2025 Compression Barriers in Autoregressive Transformers COLT 2025 Compression of 3D Gaussian Splatting with Optimized Feature Planes and Standard Video Codecs ICCV 2025 Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data ICML 2025 Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025 CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation ICCV 2025 Computational Blueprints: Generating Isomorphic Mathematics Problems with Large Language Models EMNLP 2025 Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models ICLR 2025 Computation Mechanism Behind LLM Position Generalization ACL 2025 Compute Optimal Scaling of Skills: Knowledge vs Reasoning ACL 2025 Computing high-dimensional optimal transport by flow neural networks AISTATS 2025 COMRECGC: Global Graph Counterfactual Explainer through Common Recourse ICML 2025 ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices CVPR 2025 CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models AAAI 2025 Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings EMNLP 2025 Concentration Distribution Learning from Label Distributions ICML 2025 ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features ICML 2025 ConceptCarve: Dynamic Realization of Evidence ACL 2025 Concept-Centric Token Interpretation for Vector-Quantized Generative Models ICML 2025 Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis AAAI 2025 Concept Forgetting via Label Annealing UAI 2025