Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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453
859
1,652
3,233
5,368
6,434
7,726
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12,524
14,487
6,029
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Papers (including subtopics)
Next Patch Prediction for AutoRegressive Visual Generation
AAAI 2026
Next-Scale Autoregressive Models for Text-to-Motion Generation
CVPR 2026
Next-Scale Prediction: A Self-Supervised Approach for Real-World Image Denoising
CVPR 2026
NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks
CVPR 2026
NG-GS: NeRF-guided 3D Gaussian Splatting Segmentation
CVPR 2026
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
EACL 2026
NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction
AAAI 2026
Nighttime Flare Removal via Wavelet-Guided and Gated-Enhanced Spatial-Frequency Fusion Network
AAAI 2026
NileUn at AbjadGenEval Shared Task: Contrastive Learning with Stacking Ensemble for Efficient Arabic AI-Generated Text Detection
EACL 2026
NIL: No-data Imitation Learning
CVPR 2026
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
ACL 2026
NIT-Agartala-NLP-Team at SemEval-2026 Task 9: A Weighted Soft-Voting Ensemble Framework of Fine-Tuned LLMs for Binary and Multi-Label Polarization Detection
SemEval 2026
NI-Tex: Non-isometric Image-based Garment Texture Generation
CVPR 2026
NitroGen: An Open Foundation Model for Generalist Gaming Agents
CVPR 2026
NLP-FSDM at SemEval-2026 Task 4: Narrative Similarity via Multiple Negatives Ranking and Instruction-Based Embeddings
SemEval 2026
NLPGroup8 at SemEval-2026 Task 2: Diverse Ensembles and Hierarchical Transformers for Emotional State Prediction
SemEval 2026
nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection
MIDL 2026
No Buffer, No Bottleneck: Efficient Zero-Copy KV Cache Offloading for Long-Context LLMs
OSDI 2026
Node-RF: Learning Generalized Continuous Space-Time Scene Dynamics with Neural ODE-based NeRFs
CVPR 2026
NODiff: Neural Operator Diffusion for Multispectral Image Fusion
AAAI 2026
No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models
CVPR 2026
NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining
WACV 2026
Noise-Aware Few-Shot Learning through Bi-directional Multi-View Prompt Alignment
CVPR 2026
Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment
AAAI 2026
No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts
WACV 2026