Papers
11,015 papers found
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Qin ZHANG, Linghan Xu, Jun Fang et al.
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari et al.
Tight Rates in Supervised Outlier Transfer Learning
Mohammadreza Mousavi Kalan, Samory Kpotufe
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
Firas Al-Hafez, Guoping Zhao, Jan Peters et al.
Time Fairness in Online Knapsack Problems
Adam Lechowicz, Rik Sengupta, Bo Sun et al.
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Ming Jin, Shiyu Wang, Lintao Ma et al.
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
Shiyu Wang, Haixu Wu, Xiaoming Shi et al.
Time Travel in LLMs: Tracing Data Contamination in Large Language Models
Shahriar Golchin, Mihai Surdeanu
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton et al.
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
Pratyush Maini, Sachin Goyal, Zachary Chase Lipton et al.
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
Darshil Doshi, Aritra Das, Tianyu He et al.
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
Michal Geyer, Omer Bar-Tal, Shai Bagon et al.
Tool-Augmented Reward Modeling
Lei Li, Yekun Chai, Shuohuan Wang et al.
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Yuchen Zhuang, Xiang Chen, Tong Yu et al.
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin, Shihao Liang, Yining Ye et al.
Topic Modeling as Multi-Objective Contrastive Optimization
Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong et al.
Topological data analysis on noisy quantum computers
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson et al.
TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
Dongming Wu, Jiahao Chang, Fan Jia et al.
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Zhibin Gou, Zhihong Shao, Yeyun Gong et al.
TorchRL: A data-driven decision-making library for PyTorch
Albert Bou, Matteo Bettini, Sebastian Dittert et al.
TOSS: High-quality Text-guided Novel View Synthesis from a Single Image
Yukai Shi, Jianan Wang, He CAO et al.
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
Manley Roberts, Himanshu Thakur, Christine Herlihy et al.
Toward effective protection against diffusion-based mimicry through score distillation
Haotian Xue, Chumeng Liang, Xiaoyu Wu et al.
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games
Stephen Marcus McAleer, JB Lanier, Kevin A. Wang et al.
Towards 3D Molecule-Text Interpretation in Language Models
Sihang Li, Zhiyuan Liu, Yanchen Luo et al.