Tao LIN
59 papers · 2017–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 23 separate collaboration groups - the largest holds only 20% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Tao LIN?
11 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Martin Jaggi, Sebastian Stich, Lingjing Kong
12 papers
· 2018–2026
· NeurIPS, ICLR, ICML
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Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning
ACL 2026
ELICIT: LLM Augmentation Via External In-context Capability
ICLR 2025
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
NeurIPS 2021
Consensus Control for Decentralized Deep Learning
ICML 2021
Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
ICML 2021
RelaySum for Decentralized Deep Learning on Heterogeneous Data
NeurIPS 2021
Don't Use Large Mini-batches, Use Local SGD
ICLR 2020
Dynamic Model Pruning with Feedback
ICLR 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning
NeurIPS 2020
Extrapolation for Large-batch Training in Deep Learning
ICML 2020
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models
EMNLP 2020
Training DNNs with Hybrid Block Floating Point
NeurIPS 2018
12 papers whose co-authors appear nowhere else under this name
Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning
CVPR 2026
Dual-Granularity Memory for Efficient Video Generation
CVPR 2026
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
ICLR 2025
Learn How to Query from Unlabeled Data Streams in Federated Learning
AAAI 2025
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
NeurIPS 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
ECCV 2024
Towards Robust Multi-Modal Reasoning via Model Selection
ICLR 2024
Test-Time Robust Personalization for Federated Learning
ICLR 2023
Adversarial training for high-stakes reliability
NeurIPS 2022
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
AAAI 2022
Learning Utilities and Equilibria in Non-Truthful Auctions
NeurIPS 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
NeurIPS 2020