Poster Papers
24,624 papers found • Page 474 of 493
Conference
The Need for Speed: Pruning Transformers with One Recipe
Samir Khaki, Konstantinos Plataniotis
The Neglected Tails in Vision-Language Models
Shubham Parashar, Tian Liu, Zhiqiu Lin et al.
The Nerfect Match: Exploring NeRF Features for Visual Localization
Qunjie Zhou, Maxim Maximov, Or Litany et al.
The Non-linear $F$-Design and Applications to Interactive Learning
Alekh Agarwal, Jian Qian, Alexander Rakhlin et al.
The optimality of kernel classifiers in Sobolev space
Jianfa Lai, zhifan Li, Dongming Huang et al.
Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
Sepanta Zeighami, Cyrus Shahabi
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
Shaopeng Fu, Di Wang
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
Tom Huix, Anna Korba, Alain Oliviero Durmus et al.
Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
Yuchen Wu, Minshuo Chen, Zihao Li et al.
Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
Zikai Xiao, Guo-Ye Yang, Xue Yang et al.
Theoretical Understanding of Learning from Adversarial Perturbations
Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling
Zehao Dou, Minshuo Chen, Mengdi Wang et al.
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
Ziquan Liu, Yufei Cui, Yan Yan et al.
The Pitfalls of Next-Token Prediction
Gregor Bachmann, Vaishnavh Nagarajan
The Privacy Power of Correlated Noise in Decentralized Learning
Youssef Allouah, Anastasiia Koloskova, Aymane Firdoussi et al.
The Reasonableness Behind Unreasonable Translation Capability of Large Language Model
Tingchen Fu, lemao liu, Deng Cai et al.
The Relative Value of Prediction in Algorithmic Decision Making
Juan Perdomo
The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
Lukas Berglund, Meg Tong, Maximilian Kaufmann et al.
Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis
Qian Chen, Shihao Shu, Xiangzhi Bai
Thermometer: Towards Universal Calibration for Large Language Models
Maohao Shen, Subhro Das, Kristjan Greenewald et al.
The Role of Learning Algorithms in Collective Action
Omri Ben-Dov, Jake Fawkes, Samira Samadi et al.
The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers
Seungwoo Son, Jegwang Ryu, Namhoon Lee et al.
The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility
James Gardner, Evgenii Kashin, Bernhard Egger et al.
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline
Haonan Wang, Qianli Shen, Yao Tong et al.
The STVchrono Dataset: Towards Continuous Change Recognition in Time
Yanjun Sun, Yue Qiu, Mariia Khan et al.
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
Jiajun Ma, Shuchen Xue, Tianyang Hu et al.
The Trickle-down Impact of Reward Inconsistency on RLHF
Lingfeng Shen, Lingfeng Shen, Sihao Chen et al.
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
Pratyusha Sharma, Jordan Ash, Dipendra Kumar Misra
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu et al.
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
Daniel Severo, Lucas Theis, Johannes Ballé
The Update-Equivalence Framework for Decision-Time Planning
Samuel Sokota, Gabriele Farina, David Wu et al.
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
Raphael Avalos, Florent Delgrange, Ann Nowe et al.
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal et al.
Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-v2)
Qifeng Li, Xiaosong Jia, Shaobo Wang et al.
Think before Placement: Common Sense Enhanced Transformer for Object Placement
Yaxuan Qin, Jiayu Xu, Ruiping Wang et al.
Think Before You Act: Decision Transformers with Working Memory
Jikun Kang, Romain Laroche, Xingdi Yuan et al.
Think before you speak: Training Language Models With Pause Tokens
Sachin Goyal, Ziwei Ji, Ankit Singh Rawat et al.
Thinking Outside the BBox: Unconstrained Generative Object Compositing
Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang et al.
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang et al.
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Jiayi Chen, Benteng Ma, Hengfei Cui et al.
This Probably Looks Exactly Like That: An Invertible Prototypical Network
Zachariah Carmichael, Timothy Redgrave, Daniel Gonzalez Cedre et al.
THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS
Junchi Yu, Ran He, Rex Ying
Three Pillars Improving Vision Foundation Model Distillation for Lidar
Gilles Puy, Spyros Gidaris, Alexandre Boulch et al.
Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediciton Tasks
Manyuan Zhang, Guanglu Song, Xiaoyu Shi et al.
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Qin ZHANG, Linghan Xu, Jun Fang et al.
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models
Prannay Kaul, Zhizhong Li, Hao Yang et al.
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models
Haomiao Ni, Bernhard Egger, Suhas Lohit et al.
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models
Aditya Aravind Chinchure, Pushkar Shukla, Gaurav Bhatt et al.
TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression
Megh Shukla, Mathieu Salzmann, Alexandre Alahi
TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
Zhiyuan Ren, Minchul Kim, Feng Liu et al.