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Workshop
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Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time
Yingyu Liang · Zhizhou Sha · Zhenmei Shi · Zhao Song · Yufa Zhou
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Poster
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Thu 16:30
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Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
Hanwen Zhong · Jiaxin Chen · Yutong Zhang · Di Huang · Yunhong Wang
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Poster
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Thu 11:00
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Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
Zongjiang Shang · Ling Chen · Binqing Wu · Dongliang Cui
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Poster
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Fri 16:30
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A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
Yitong Dong · Yijin Li · Zhaoyang Huang · Weikang Bian · Jingbo Liu · Hujun Bao · Zhaopeng Cui · Hongsheng Li · Guofeng Zhang
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Workshop
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Shared Recurrent Memory Improves Multi-agent Pathfinding
Alsu Sagirova · Yury Kuratov · Mikhail Burtsev
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Workshop
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BAKU: An Efficient Transformer for Multi-Task Policy Learning
Siddhant Haldar · Zhuoran Peng · Lerrel Pinto
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Poster
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Wed 11:00
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Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
Gongfan Fang · Xinyin Ma · Xinchao Wang
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Poster
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Fri 16:30
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How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
Xingwu Chen · Lei Zhao · Difan Zou
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Poster
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Fri 16:30
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Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
Zhaomin Wu · Junyi Hou · Yiqun Diao · Bingsheng He
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Poster
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Fri 11:00
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Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
Rohan Baskar Prabhakar · Hengrui Zhang · David Wentzlaff
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Workshop
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On Layer-wise Representation Similarity: Application for Multi-Exit Models with a Single Classifier
Jiachen Jiang · Jinxin Zhou · Zhihui Zhu
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Poster
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Thu 11:00
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BAKU: An Efficient Transformer for Multi-Task Policy Learning
Siddhant Haldar · Zhuoran Peng · Lerrel Pinto
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