Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
5
1
2
47
50
53
51
87
90
125
229
234
453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
'5
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Papers (including subtopics)
WeMMU: Enhanced Bridging of Vision-Language Models and Diffusion Models via Noisy Query Tokens
CVPR 2026
WFM: 3D Wavelet Flow Matching for Ultrafast Multi-Modal MRI Synthesis
MIDL 2026
What Are You Doing? A Closer Look at Controllable Human Video Generation
CVPR 2026
What Brain Data Adds to Language Model Training
CoNLL 2026
What Do LLMs Learn First? Asymmetric Learning Dynamics of Input Complexity and Output Ambiguity in Preference Alignment
ACL 2026
What Fine-Tuning Changes: A Radiomic Lens on Prostate Foundation Model Representations
MIDL 2026
What Is It Like to Be a Noise? An Entropy-based Gaussian Noise Regularization for Diffusion Models
CVPR 2026
What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning
ACL 2026
What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective
ACL 2026
What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching?
CVPR 2026
What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context
ACL 2026
What Matters in Practical Learned Image Compression
CVPR 2026
What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects
EACL 2026
What's Wrong with Synthetic Data for Scene Text Recognition? A Strong Synthetic Engine with Diverse Simulations and Self-Evolution
CVPR 2026
When Agents Look the Same: Quantifying Distillation-Induced Similarity in Tool-Use Behaviors
ACL 2026
When Anonymity Breaks: Identifying Models Behind Text-to-Image Leaderboards
CVPR 2026
When Benchmarks Leak: Inference-Time Decontamination for LLMs
ACL 2026
When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks
COLT 2026
When Can Transformers Count to n?
UAI 2026
When Do Models Actually Decide? Mapping the Layer-Wise Decision Timeline in Pretrained Neural Networks
CVPR 2026
When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models
ACL 2026
When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction
L4DC 2026
When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering
AAAI 2026
When in Doubt, Consult: Expert Debate for Sexism Detection via Confidence-Based Routing
ACL 2026
When Lines Meet Textures: Spatial-Frequency Aligned Diffusion Features for Cross-Sparsity Correspondence
CVPR 2026