ICLR 2023

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10 Results

Poster	Mon 2:30	How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression? Jetze Schuurmans · kim batselier · Julian Kooij
Poster		Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren · Tianjun Zhang · Lisa Lee · Joseph E Gonzalez · Dale Schuurmans · Bo Dai
Poster	Mon 7:30	Constructive TT-representation of the tensors given as index interaction functions with applications Gleb Ryzhakov · Ivan Oseledets
Poster		Decompositional Generation Process for Instance-Dependent Partial Label Learning Congyu Qiao · Ning Xu · Xin Geng
Poster		Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition Jianhao Ma · Lingjun Guo · Salar Fattahi
Poster		DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images Bing WANG · Lu Chen · Bo Yang
Poster	Tue 7:30	Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks Noam Wies · Yoav Levine · Amnon Shashua
Poster	Wed 7:30	Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields Zhenxing Mi · Dan Xu
Workshop		Concept discovery and Dataset exploration with Singular Value Decomposition Mara Graziani · An-phi Nguyen · Laura O'Mahony · Henning Müller · Vincent Andrearczyk
Poster	Mon 7:30	Decomposed Prompting: A Modular Approach for Solving Complex Tasks Tushar Khot · Harsh Trivedi · Matthew Finlayson · Yao Fu · Kyle Richardson · Peter Clark · Ashish Sabharwal