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Workshop
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Memory in humans and deep language models: Linking hypotheses for model augmentation
Omri Raccah · Phoebe Chen · Theodore Willke · David Poeppel · Vy Vo
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Workshop
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Memory-Efficient Reinforcement Learning with Priority based on Surprise and On-policyness
Ryosuke Unno · Yoshimasa Tsuruoka
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Poster
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Wed 14:00
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FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Tri Dao · Dan Fu · Stefano Ermon · Atri Rudra · Christopher Ré
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Workshop
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Cache-memory gated graph neural networks
Guixiang Ma · Vy Vo · Nesreen K. Ahmed · Theodore Willke
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Workshop
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Loop Unrolled Shallow Equilibrium Regularizer (LUSER) - A Memory-Efficient Inverse Problem Solver
Peimeng Guan · Jihui Jin · Justin Romberg · Mark Davenport
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Workshop
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Mixed-Memory RNNs for Learning Long-term Dependencies in Irregularly-sampled Time Series
Mathias Lechner · Ramin Hasani
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Poster
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Tue 14:00
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LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Yi-Lin Sung · Jaemin Cho · Mohit Bansal
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Poster
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Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
Yixuan Pei · Zhiwu Qing · Jun CEN · Xiang Wang · Shiwei Zhang · Yaxiong Wang · Mingqian Tang · Nong Sang · Xueming Qian
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Workshop
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An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
Yuxiang Wu · Yu Zhao · Baotian Hu · Pasquale Minervini · Pontus Lars Erik Saito Stenetorp · Sebastian Riedel
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Workshop
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Using Hippocampal Replay to Consolidate Experiences in Memory-Augmented Reinforcement Learning
Chong Min John Tan · Mehul Motani
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Poster
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Thu 9:00
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Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation
Ziyu Jiang · Xuxi Chen · Xueqin Huang · Xianzhi Du · Denny Zhou · Zhangyang Wang
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Poster
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Wed 14:00
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Memory Efficient Continual Learning with Transformers
Beyza Ermis · Giovanni Zappella · Martin Wistuba · Aditya Rawal · Cedric Archambeau
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