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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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Loop Unrolled Shallow Equilibrium Regularizer (LUSER) - A Memory-Efficient Inverse Problem Solver Peimeng Guan · Jihui Jin · Justin Romberg · Mark Davenport |
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Poster
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Thu 9:00 |
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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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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Cache-memory gated graph neural networks Guixiang Ma · Vy Vo · Nesreen K. Ahmed · Theodore Willke |
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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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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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Poster
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Wed 14:00 |
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness Tri Dao · Dan Fu · Stefano Ermon · Atri Rudra · Christopher Ré |
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Poster
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Tue 14:00 |
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning Yi-Lin Sung · Jaemin Cho · Mohit Bansal |
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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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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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Learning to Constrain Policy Optimization with Virtual Trust Region Thai Hung Le · Thommen Karimpanal George · Majid Abdolshah · Dung Nguyen · Kien Do · Sunil Gupta · Svetha Venkatesh |