2024 Poster Papers
8,865 papers found • Page 12 of 178
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
Tokio Kajitsuka, Issei Sato
ARGS: Alignment as Reward-Guided Search
Maxim Khanov, Jirayu Burapacheep, Yixuan Li
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models
Xinyu Tian, Shu Zou, Zhaoyuan Yang et al.
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures
Tahmina Khanam, Mohammed Bennamoun, Guan Wang et al.
A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER
Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen et al.
ARoFace: Alignment Robustness to Improve Low-quality Face Recognition
Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Dabouei et al.
A Rotation-invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images
Tianyi Liu, Shuaishuai S Zhuang, Jiacheng Nie et al.
Arrows of Time for Large Language Models
Vassilis Papadopoulos, Jérémie Wenger, Clement Hongler
ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation
Dar-Yen Chen, Hamish Tennent, Ching-Wen Hsu
Artist-Friendly Relightable and Animatable Neural Heads
Yingyan Xu, Prashanth Chandran, Sebastian Weiss et al.
ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe
Yifan Bai, Zeyang Zhao, Yihong Gong et al.
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling
William Zhu, Keren Ye, Junjie Ke et al.
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations
Kailas Vodrahalli, James Zou
ASAM: Boosting Segment Anything Model with Adversarial Tuning
Bo Li, Haoke Xiao, Lv Tang
A sampling theory perspective on activations for implicit neural representations
Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko et al.
A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks
Feiyu CHEN, Wei Lin, Ziquan Liu et al.
A Semantic Invariant Robust Watermark for Large Language Models
Aiwei Liu, Leyi Pan, Xuming Hu et al.
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
Junfei Xiao, Ziqi Zhou, Wenxuan Li et al.
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint
Xiaofeng Cong, Jie Gui, Jing Zhang et al.
ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering
Haokai Pang, Heming Zhu, Adam Kortylewski et al.
ASID: Active Exploration for System Identification in Robotic Manipulation
Marius Memmel, Andrew Wagenmaker, Chuning Zhu et al.
A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization
Hongwei Ren, Jiadong Zhu, Yue Zhou et al.
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun, Zhuang Liu, Anna Bair et al.
A Simple and Scalable Representation for Graph Generation
Yunhui Jang, Seul Lee, Sungsoo Ahn
A Simple Background Augmentation Method for Object Detection with Diffusion Model
YUHANG LI, Xin Dong, Chen Chen et al.
A Simple Baseline for Efficient Hand Mesh Reconstruction
zhishan zhou, shihao zhou, Zhi Lv et al.
A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars
Ronglai Zuo, Fangyun Wei, Zenggui Chen et al.
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
Taehong Moon, Moonseok Choi, EungGu Yun et al.
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
DIPANJYOTI PAUL, Arpita Chowdhury, Xinqi Xiong et al.
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting
Wouter Van Gansbeke, Bert De Brabandere
A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging
Miao Cao, Lishun Wang, Huan Wang et al.
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak et al.
A Simple Recipe for Language-guided Domain Generalized Segmentation
Mohammad Fahes, TUAN-HUNG VU, Andrei Bursuc et al.
A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction
Dongyang Liu, Meina Kan, Shiguang Shan et al.
A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
Zhenwei Lin, Chenyu Xue, Qi Deng et al.
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
Jason Chun Lok Li, Steven Luo, Le Xu et al.
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
Agustinus Kristiadi, Felix Strieth-Kalthoff, Marta Skreta et al.
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
Keqiang Yan, Alexandra Saxton, Xiaofeng Qian et al.
A Sparsity Principle for Partially Observable Causal Representation Learning
Danru Xu, Dingling Yao, Sébastien Lachapelle et al.
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors
Seungwoo Yoo, Kunho Kim, Vladimir G. Kim et al.
Assessing Large Language Models on Climate Information
Jannis Bulian, Mike Schäfer, Afra Amini et al.
Assessing Sample Quality via the Latent Space of Generative Models
Jingyi Xu, Hieu Le, Dimitris Samaras
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
Boyi Wei, Kaixuan Huang, Yangsibo Huang et al.
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
Jean-Rémy Conti, Stephan CLEMENCON
AssistGUI: Task-Oriented PC Graphical User Interface Automation
Difei Gao, Lei Ji, Zechen Bai et al.
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
Saptarshi Chakraborty, Peter Bartlett
A Statistical Framework for Data-dependent Retrieval-Augmented Models
Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
A Statistical Theory of Regularization-Based Continual Learning
Xuyang Zhao, Huiyuan Wang, Weiran Huang et al.
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning
Xiaoyang Xu, Mengda Yang, Wenzhe Yi et al.
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
Linyuan Gong, Mostafa Elhoushi, Alvin Cheung