Poster Papers
24,624 papers found • Page 475 of 493
Conference
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
Ekaterina Grishina, Mikhail Gorbunov, Maxim Rakhuba
Tight Rates in Supervised Outlier Transfer Learning
Mohammadreza Mousavi Kalan, Samory Kpotufe
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration
Gyusang Cho, Chan-Hyun Youn
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
Stefano Mannelli, Yaraslau Ivashynka, Andrew Saxe et al.
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
Johann Schmidt, Sebastian Stober
TIM: A Time Interval Machine for Audio-Visual Action Recognition
Jacob Chalk, Jaesung Huh, Evangelos Kazakos et al.
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
Shuhuai Ren, Linli Yao, Shicheng Li et al.
TimeCraft: Navigate Weakly-Supervised Temporal Grounded Video Question Answering via Bi-directional Reasoning
Huabin Liu, Xiao Ma, Cheng Zhong et al.
Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models
Phuong Dam, Jihoon Jeong, Anh Tran et al.
Time-Efficient Light-Field Acquisition Using Coded Aperture and Events
Shuji Habuchi, Keita Takahashi, Chihiro Tsutake et al.
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.
TimeLens-XL: Real-time Event-based Video Frame Interpolation with Large Motion
Shi Guo, Yutian Chen, Tianfan Xue et al.
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Ming Jin, Shiyu Wang, Lintao Ma et al.
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Yong Liu, Haoran Zhang, Chenyu Li et al.
Time Series Diffusion in the Frequency Domain
Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk et al.
Timestep-Aware Correction for Quantized Diffusion Models
Yuzhe YAO, Feng Tian, Jun Chen et al.
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
Rasool Fakoor, Jonas Mueller, Zachary Lipton et al.
TimeX++: Learning Time-Series Explanations with Information Bottleneck
Zichuan Liu, Tianchun Wang, Jimeng Shi et al.
TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing
Sherry X. Chen, Yaron Vaxman, Elad Ben Baruch et al.
tinyBenchmarks: evaluating LLMs with fewer examples
Felipe Maia Polo, Lucas Weber, Leshem Choshen et al.
Tiny Models are the Computational Saver for Large Models
Qingyuan Wang, Barry Cardiff, Antoine Frappé et al.
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.
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
Junhua Zeng, Chao Li, Zhun Sun 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 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.
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Yuchen Zhuang, Xiang Chen, Tong Yu 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.
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture
Xuanchen Li, Yuhao Cheng, Xingyu Ren et al.
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.