• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 42 matches

• 2024
• 
  Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang:
  Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. ICLR 2024
• 
  Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang:
  Why Larger Language Models Do In-context Learning Differently? ICML 2024
• 
  Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou:
  Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic. CoRR abs/2402.09469 (2024)
• 
  Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang:
  Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. CoRR abs/2402.15017 (2024)
• 
  Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song:
  Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond. CoRR abs/2405.03251 (2024)
• 
  Jiuxiang Gu, Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Junze Yin:
  Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. CoRR abs/2405.05219 (2024)
• 
  Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
  Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers. CoRR abs/2405.16411 (2024)
• 
  Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
  Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective. CoRR abs/2405.16418 (2024)
• 
  Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang:
  Why Larger Language Models Do In-context Learning Differently? CoRR abs/2405.19592 (2024)
• 
  Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang:
  Toward Infinite-Long Prefix in Transformer. CoRR abs/2406.14036 (2024)
• 
  Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Neel Joshi:
  Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. CoRR abs/2406.14852 (2024)
• 
  Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song:
  Differential Privacy Mechanisms in Neural Tangent Kernel Regression. CoRR abs/2407.13621 (2024)
• 
  Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
  Differential Privacy of Cross-Attention with Provable Guarantee. CoRR abs/2407.14717 (2024)
• 
  Zhuoyan Xu, Zhenmei Shi, Yingyu Liang:
  Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability. CoRR abs/2407.15720 (2024)
• 
  Jiuxiang Gu, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Junwei Yu:
  Fast John Ellipsoid Computation with Differential Privacy Optimization. CoRR abs/2408.06395 (2024)
• 
  Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song:
  A Tighter Complexity Analysis of SparseGPT. CoRR abs/2408.12151 (2024)
• 
  Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou:
  Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time. CoRR abs/2408.13233 (2024)
• 
  Zhenmei Shi, Yifei Ming, Xuan-Phi Nguyen, Yingyu Liang, Shafiq Joty:
  Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction. CoRR abs/2409.17422 (2024)
• 
  Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou:
  Looped ReLU MLPs May Be All You Need as Practical Programmable Computers. CoRR abs/2410.09375 (2024)
• 
  Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
  Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes. CoRR abs/2410.09397 (2024)
• 
  Bo Chen, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song:
  HSR-Enhanced Sparse Attention Acceleration. CoRR abs/2410.10165 (2024)
• 
  Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Yufa Zhou:
  Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix. CoRR abs/2410.11261 (2024)
• 
  Bo Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song:
  Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent. CoRR abs/2410.11268 (2024)
• 
  Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song:
  Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study. CoRR abs/2410.11279 (2024)
• 
  Bo Chen, Xiaoyu Li, Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song:
  Circuit Complexity Bounds for RoPE-based Transformer Architecture. CoRR abs/2411.07602 (2024)
• 2023
• 
  Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha:
  The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. ICLR 2023
• 
  Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li:
  When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. ICML 2023: 33014-33043
• 
  Zhenmei Shi, Junyi Wei, Yingyu Liang:
  Provable Guarantees for Neural Networks via Gradient Feature Learning. NeurIPS 2023
• 
  Yiyou Sun, Zhenmei Shi, Yixuan Li:
  A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. NeurIPS 2023
• 
  Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha:
  The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. CoRR abs/2303.00106 (2023)

skipping 12 more matches