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Methodology
← Learning Types
Machine Learning
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Learning Types
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Deep Learning
1397 directly classified papers
Papers per year
2006: 3
2007: 4
2008: 3
2011: 5
2012: 11
2013: 4
2014: 4
2015: 3
2016: 26
2017: 50
2018: 67
2019: 107
2020: 163
2021: 131
2022: 139
2023: 166
2024: 277
2025: 233
2026: 1
Papers
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
NIPS 2024
Neural Conditional Probability for Uncertainty Quantification
NIPS 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
NIPS 2024
Cross-model Control: Improving Multiple Large Language Models in One-time Training
NIPS 2024
Efficient LLM Scheduling by Learning to Rank
NIPS 2024
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
NIPS 2024
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
NIPS 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
NIPS 2024
Precipitation Downscaling with Spatiotemporal Video Diffusion
NIPS 2024
Advancing Video Anomaly Detection: A Concise Review and a New Dataset
NIPS 2024
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
NIPS 2024
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text
NIPS 2024
Equivariant Neural Diffusion for Molecule Generation
NIPS 2024
Second-order forward-mode optimization of recurrent neural networks for neuroscience
NIPS 2024
Nuclear Fusion Diamond Polishing Dataset
NIPS 2024
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes
AISTATS 2024
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series
NIPS 2024
Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models
EACL 2024
Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks
NIPS 2024
Free-form Flows: Make Any Architecture a Normalizing Flow
AISTATS 2024
DOFEN: Deep Oblivious Forest ENsemble
NIPS 2024
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
NIPS 2024
Data-Augmentation-Based Dialectal Adaptation for LLMs
NAACL 2024
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection
AAAI 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
NIPS 2024
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