All Papers
34,598 papers found • Page 668 of 692
Conference
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
Young Kwon, Rui Li, Stylianos Venieris et al.
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data
Siyi Du, Shaoming Zheng, Yinsong Wang et al.
TLControl: Trajectory and Language Control for Human Motion Synthesis
WEILIN WAN, Zhiyang Dou, Taku Komura et al.
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning
Weijie Wei, Fatemeh Karimi Nejadasl, Theo Gevers et al.
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
Pratyush Maini, Sachin Goyal, Zachary Lipton et al.
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities
Zheyu Zhang, Gang Yang, Yueyi Zhang et al.
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization
Andrei Ivanov, Stefan Ailuro
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
Junhua Zeng, Chao Li, Zhun Sun et al.
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
Authors: Yuequn Liu, Ruichu Cai, Wei Chen et al.
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
Zi-Hao Qiu, Siqi Guo, Mao Xu et al.
TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes
Bu Jin, Yupeng Zheng, Pengfei Li et al.
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
George-Octavian Bărbulescu, Peter Triantafillou
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Yimeng Zhang, jinghan jia, Xin Chen et al.
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
Darshil Doshi, Aritra Das, Tianyu He et al.
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning
Shibo Jie, Yehui Tang, Jianyuan Guo et al.
TokenCompose: Text-to-Image Diffusion with Token-level Supervision
Zirui Wang, Zhizhou Sha, Zheng Ding et al.
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
Michal Geyer, Omer Bar Tal, Shai Bagon et al.
TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
Sai Kumar Dwivedi, Yu Sun, Priyanka Patel et al.
Tokenize Anything via Prompting
Ting Pan, Lulu Tang, Xinlong Wang et al.
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
Qianrui Zhou, Hua Xu, Hao Li et al.
Token-level Direct Preference Optimization
Yongcheng Zeng, Guoqing Liu, Weiyu Ma et al.
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
Mingjia Huo, Sai Ashish Somayajula, Youwei Liang et al.
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer
Junyi Wu, Bin Duan, Weitai Kang et al.
ToNNO: Tomographic Reconstruction of a Neural Network’s Output for Weakly Supervised Segmentation of 3D Medical Images
Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Belachew 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.
ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing
Kartik Thakral, Shashikant Prasad, Stuti Aswani et al.
Topic Modeling as Multi-Objective Contrastive Optimization
Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong et al.
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
YoungJoon Yoo, Jongwon Choi
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture
Xuanchen Li, Yuhao Cheng, Xingyu Ren et al.
TopoGCL: Topological Graph Contrastive Learning
Yuzhou Chen, Jose Frias, Yulia Gel
Topological data analysis on noisy quantum computers
Ismail Akhalwaya, Shashanka Ubaru, Kenneth Clarkson et al.
Topological Neural Networks go Persistent, Equivariant, and Continuous
Yogesh Verma, Amauri Souza, Vikas Garg
Topology-Preserving Downsampling of Binary Images
Chia-Chia Chen, Chi-Han Peng
TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
Dongming Wu, Jiahao Chang, Fan Jia et al.
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation
Yuhao Wang, Xuehu Liu, Pingping Zhang 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 Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning
Souhail Hadgi, Lei Li, Maks Ovsjanikov
Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction
Xiaoyang Lyu, Chirui Chang, Peng Dai et al.
Total Selfie: Generating Full-Body Selfies
Bowei Chen, Brian Curless, Ira Kemelmacher-Shlizerman et al.
Total Variation Distance Meets Probabilistic Inference
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel et al.
Total Variation Floodgate for Variable Importance Inference in Classification
Wenshuo Wang, Lucas Janson, Lihua Lei et al.
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
Manley Roberts, Himanshu Thakur, Christine Herlihy et al.
To the Max: Reinventing Reward in Reinforcement Learning
Grigorii Veviurko, Wendelin Boehmer, Mathijs de Weerdt
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
Sijia Chen, Baochun Li
Toward Availability Attacks in 3D Point Clouds
Yifan Zhu, Yibo Miao, Yinpeng Dong et al.
Toward effective protection against diffusion-based mimicry through score distillation
Haotian Xue, Chumeng Liang, Xiaoyu Wu et al.