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Deep Learning

1752 directly classified papers

Papers per year

Papers

The Dormant Neuron Phenomenon in Deep Reinforcement Learning ICML 2023
Explainability as statistical inference ICML 2023
UniLG: A Unified Structure-aware Framework for Lyrics Generation ACL 2023
Streaming Active Learning with Deep Neural Networks ICML 2023
TAN Without a Burn: Scaling Laws of DP-SGD ICML 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting ICML 2023
Spurious Valleys and Clustering Behavior of Neural Networks ICML 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models ICML 2023
Multi-User Reinforcement Learning with Low Rank Rewards ICML 2023
Achieving High Accuracy with PINNs via Energy Natural Gradient Descent ICML 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks ICML 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023
Training Deep Surrogate Models with Large Scale Online Learning ICML 2023
Generated Graph Detection ICML 2023
Understanding Plasticity in Neural Networks ICML 2023
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks ICML 2023
SAAL: Sharpness-Aware Active Learning ICML 2023
CrossSplit: Mitigating Label Noise Memorization through Data Splitting ICML 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search ICML 2023
Unveiling the Latent Space Geometry of Push-Forward Generative Models ICML 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics ICML 2023
Weighted Sampling without Replacement for Deep Top-$k$ Classification ICML 2023
Dual Memory Fusion for Multimodal Speech Emotion Recognition INTERSPEECH 2023
Controllable Neural Symbolic Regression ICML 2023
Implicit Graph Neural Networks: A Monotone Operator Viewpoint ICML 2023