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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5
1
2
47
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87
90
125
229
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453
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)
One-Step Diffusion Distillation through Score Implicit Matching
NeurIPS 2024
One-step Diffusion with Distribution Matching Distillation
CVPR 2024
One-Step Effective Diffusion Network for Real-World Image Super-Resolution
NeurIPS 2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
AAAI 2024
One Step Learning, One Step Review
AAAI 2024
One-step Spiking Transformer with a Linear Complexity
IJCAI 2024
One Style Is All You Need To Generate a Video
WACV 2024
One Thousand and One Pairs: A “novel” challenge for long-context language models
EMNLP 2024
One-to-many testing for code generation from (just) natural language
EMNLP 2024
One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation
NeurIPS 2024
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
NeurIPS 2024
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
CVPR 2024
One-Vs-Rest Neural Network English Grapheme Segmentation: A Linguistic Perspective
CoNLL 2024
On Exact Inversion of DPM-Solvers
CVPR 2024
On Fake News Detection with LLM Enhanced Semantics Mining
EMNLP 2024
On Feature Learning in Structured State Space Models
NeurIPS 2024
On Feynman-Kac training of partial Bayesian neural networks
AISTATS 2024
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models
ICLR 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
NeurIPS 2024
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
NeurIPS 2024
On Improving Repository-Level Code QA for Large Language Models
ACL 2024
On Inference Stability for Diffusion Models
AAAI 2024
On Leakage of Code Generation Evaluation Datasets
EMNLP 2024
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
ECCV 2024
On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection
ACML 2024