Tianle Cai

According to our database1, Tianle Cai authored at least 30 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention.
CoRR, 2024

SnapKV: LLM Knows What You are Looking for Before Generation.
CoRR, 2024

JetMoE: Reaching Llama2 Performance with 0.1M Dollars.
CoRR, 2024

Accelerating Greedy Coordinate Gradient via Probe Sampling.
CoRR, 2024

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models.
CoRR, 2024

BitDelta: Your Fine-Tune May Only Be Worth One Bit.
CoRR, 2024

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.
CoRR, 2024

2023
REST: Retrieval-Based Speculative Decoding.
CoRR, 2023

Scaling In-Context Demonstrations with Structured Attention.
CoRR, 2023

Reward Collapse in Aligning Large Language Models.
CoRR, 2023

Large Language Models as Tool Makers.
CoRR, 2023

What Makes Convolutional Models Great on Long Sequence Modeling?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond.
CoRR, 2022

2021
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track.
CoRR, 2021

Do Transformers Really Perform Bad for Graph Representation?
CoRR, 2021

Towards Certifying 𝓁<sub>∞</sub> Robustness using Neural Networks with 𝓁<sub>∞</sub>-dist Neurons.
CoRR, 2021

Do Transformers Really Perform Badly for Graph Representation?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards a Theoretical Framework of Out-of-Distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons.
Proceedings of the 38th International Conference on Machine Learning, 2021

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Theory of Label Propagation for Subpopulation Shift.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
RANDOM MASK: Towards Robust Convolutional Neural Networks.
CoRR, 2020

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Locally Differentially Private (Contextual) Bandits Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Defective Convolutional Layers Learn Robust CNNs.
CoRR, 2019

Convergence of Adversarial Training in Overparametrized Networks.
CoRR, 2019

Adversarially Robust Generalization Just Requires More Unlabeled Data.
CoRR, 2019

A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems.
CoRR, 2019

Convergence of Adversarial Training in Overparametrized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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