All Papers
34,598 papers found • Page 674 of 692
Conference
Transferable Video Moment Localization by Moment-Guided Query Prompting
Hao Jiang, Yang Yizhang, Yadong Mu
Transfer and Alignment Network for Generalized Category Discovery
Wenbin An, Feng Tian, Wenkai Shi et al.
Transfer CLIP for Generalizable Image Denoising
Jun Cheng, Dong Liang, Shan Tan
Transferring Knowledge From Large Foundation Models to Small Downstream Models
Shikai Qiu, Boran Han, Danielle Robinson et al.
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
Yuan-Hong Liao, David Acuna, Rafid Mahmood et al.
Transferring Learning Trajectories of Neural Networks
Daiki Chijiwa
Transformer as Linear Expansion of Learngene
Shiyu Xia, Miaosen Zhang, Xu Yang et al.
Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning
Jinsong Shi, Pan Gao, Jie Qin
Transformer-Based Selective Super-resolution for Efficient Image Refinement
Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo et al.
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification
Yingfan Ma, Xiaoyuan Luo, Kexue Fu et al.
Transformer Fusion with Optimal Transport
Moritz Imfeld, Jacopo Graldi, Marco Giordano et al.
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting
Yuxin Li, Wenchao Chen, Xinyue Hu et al.
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Tri Dao, Albert Gu
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
Licong Lin, Yu Bai, Song Mei
Transformers can optimally learn regression mixture models
Reese Pathak, Rajat Sen, Weihao Kong et al.
Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models
Akhil Kedia, Mohd Abbas Zaidi, Sushil Khyalia et al.
Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context
Xiang Cheng, Yuxin Chen, Suvrit Sra
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Juno Kim, Taiji Suzuki
Transformers, parallel computation, and logarithmic depth
Clayton Sanford, Daniel Hsu, Matus Telgarsky
Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot
Zixuan Wang, Stanley Wei, Daniel Hsu et al.
Transformer-VQ: Linear-Time Transformers via Vector Quantization
Lucas D. Lingle
Transforming and Combining Rewards for Aligning Large Language Models
Zihao Wang, Chirag Nagpal, Jonathan Berant et al.
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
Matic Fučka, Vitjan Zavrtanik, Danijel Skocaj
TransGOP: Transformer-Based Gaze Object Prediction
Binglu Wang, Chenxi Guo, Yang Jin et al.
Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera
Jiyuan Zhang, Shiyan Chen, Yajing Zheng et al.
Transitional Uncertainty with Layered Intermediate Predictions
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games
Pengdeng Li, Runsheng Yu, Xinrun Wang et al.
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity
Van Thuy Hoang, O-Joun Lee
Translate Meanings, Not Just Words: IdiomKB’s Role in Optimizing Idiomatic Translation with Language Models
Shuang Li, Jiangjie Chen, Siyu Yuan et al.
Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
Dongkwan Kim, Alice Oh
Translation Equivariant Transformer Neural Processes
Matthew Ashman, Cristiana Diaconu, Junhyuck Kim et al.
TransLoc4D: Transformer-based 4D Radar Place Recognition
Guohao Peng, Heshan Li, Yangyang Zhao et al.
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
Dai Shi
Transolver: A Fast Transformer Solver for PDEs on General Geometries
Haixu Wu, Huakun Luo, Haowen Wang et al.
Transportable Representations for Domain Generalization
Kasra Jalaldoust, Elias Bareinboim
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
Francisco Vargas, Shreyas Padhy, Denis Blessing et al.
Transport of Algebraic Structure to Latent Embeddings
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation
Xiaohan Cui, Long Ma, Tengyu Ma et al.
Traveling Waves Encode The Recent Past and Enhance Sequence Learning
T. Anderson Keller, Lyle Muller, Terrence Sejnowski et al.
TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Jian Xie, Kai Zhang, Jiangjie Chen et al.
TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection
Hao Sun, Mingyao Zhou, Wenjing Chen et al.
Treatment Effects Estimation By Uniform Transformer
Ruoqi Yu, Shulei Wang
Tree Cross Attention
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi et al.
Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors
Jae Joong Lee, Bosheng Li, Sara Beery et al.
TREE-G: Decision Trees Contesting Graph Neural Networks
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models
Kun Zhang, Jiali Zeng, Fandong Meng et al.
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
Mengkang Hu, Yao Mu, Xinmiao Yu et al.
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly
Mengqi GUO, Chen Li, Yuyang Zhao et al.
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
Jiahao Qiu, Hui Yuan, Jinghong Zhang et al.
Tree Search-Based Policy Optimization under Stochastic Execution Delay
David Valensi, Esther Derman, Shie Mannor et al.