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)

Machine Unlearning for Image-to-Image Generative Models ICLR 2024 MACP: Efficient Model Adaptation for Cooperative Perception WACV 2024 MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent ICML 2024 MADiff: Offline Multi-agent Learning with Diffusion Models NeurIPS 2024 MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer CVPR 2024 MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds WACV 2024 Maestro: Uncovering Low-Rank Structures via Trainable Decomposition ICML 2024 MAFA: Managing False Negatives for Vision-Language Pre-training CVPR 2024 MAFIA: Multi-Adapter Fused Inclusive Language Models EACL 2024 MaGGIe: Masked Guided Gradual Human Instance Matting CVPR 2024 Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors ICLR 2024 MagiCapture: High-Resolution Multi-Concept Portrait Customization AAAI 2024 MagicDrive: Street View Generation with Diverse 3D Geometry Control ICLR 2024 MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration EMNLP 2024 MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions ICML 2024 MaGIC: Multi-modality Guided Image Completion ICLR 2024 MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion ICML 2024 Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification CVPR 2024 MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets NAACL 2024 MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution NeurIPS 2024 MagMax: Leveraging Model Merging for Seamless Continual Learning ECCV 2024 MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization NeurIPS 2024 Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function NeurIPS 2024 Magnitude Invariant Parametrizations Improve Hypernetwork Learning ICLR 2024 MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation ICML 2024