Deep Learning
Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation
In speech separation, time-domain approaches have successfully replaced the time-frequency domain with latent sequence feature from a learnable encoder.
Untangling in Invariant Speech Recognition
Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz Elibol, Hanlin Tang, Josh McDermott, SueYeon Chung
Meanwhile, deep neural networks have also achieved impressive performance in audio processing applications, both as sub-components of larger systems and as complete end-to-end systems by themselves.
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
Neural Information Processing Systems http://nips.cc/
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
Aaron Mishkin, Frederik Kunstner, Didrik Nielsen, Mark Schmidt, Mohammad Emtiyaz Khan
Uncertainty estimation in large deep-learning models is a computationally challenging task, where it is difficult to form even a Gaussian approximation to the posteriordistribution.
Partially-Supervised Image Captioning
Peter Anderson, Stephen Gould, Mark Johnson
Neural Information Processing Systems http://nips.cc/
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
Yiqi Zhong, Cho-Ying Wu, Suya You, Ulrich Neumann
Neural Information Processing Systems http://nips.cc/
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu
Neural Information Processing Systems http://nips.cc/
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
Large Vision-Language Models (L VLMs) have demonstrated remarkable capabilities across a wide range of multimodal understanding tasks.
Continuous-Time Functional Diffusion Processes
Diffusion models have recently gained a lot of attention both from academia and industry.