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Deep Learning

1397 directly classified papers

Papers per year

Papers

RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer AAAI 2023
simple diffusion: End-to-end diffusion for high resolution images ICML 2023
Automatic Data Augmentation via Invariance-Constrained Learning ICML 2023
Detecting Out-of-distribution Data through In-distribution Class Prior ICML 2023
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023
Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection ICML 2023
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment AAAI 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability ICML 2023
End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023
Mispronunciation detection and diagnosis model for tonal language, applied to Vietnamese INTERSPEECH 2023
Resurrecting Recurrent Neural Networks for Long Sequences ICML 2023
Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers AAAI 2023
Better Diffusion Models Further Improve Adversarial Training ICML 2023
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023
HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection AAAI 2023
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation ICML 2023
Predicting Temporal Sets with Simplified Fully Connected Networks AAAI 2023
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity ICML 2023
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving AAAI 2023
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization AAAI 2023
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction AAAI 2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories AAAI 2023
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos AAAI 2023