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Workshop
Towards general deep-learning-based tree instance segmentation models
Jonathan Henrich · Jan van Delden
Poster
Tue 7:30 Transferring Learning Trajectories of Neural Networks
Daiki Chijiwa
Poster
Wed 7:30 METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park · Oleh Rybkin · Sergey Levine
Poster
Thu 1:45 Memorization Capacity of Multi-Head Attention in Transformers
Sadegh Mahdavi · Renjie Liao · Christos Thrampoulidis
Poster
Fri 7:30 Mastering Memory Tasks with World Models
Mohammad Reza Samsami · Artem Zholus · Janarthanan Rajendran · Sarath Chandar
Poster
Fri 1:45 Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
Yuhui Zhang · Elaine Sui · Serena Yeung
Poster
Thu 7:30 Transformer-VQ: Linear-Time Transformers via Vector Quantization
Lucas D. Lingle
Workshop
Variational Linearized Laplace Approximation for Bayesian Deep Learning
Luis A. Ortega · Simon Rodriguez Santana · Daniel Hernández-Lobato
Poster
Tue 7:30 Understanding Addition in Transformers
Philip Quirke · Fazl Barez
Poster
Wed 1:45 Non-negative Contrastive Learning
Yifei Wang · Qi Zhang · Yaoyu Guo · Yisen Wang
Poster
Wed 7:30 Multi-Scale Representations by Varying Window Attention for Semantic Segmentation
Haotian Yan · Ming Wu · Chuang Zhang
Poster
Tue 1:45 Soft Contrastive Learning for Time Series
Seunghan Lee · Taeyoung Park · Kibok Lee