2024 Poster Papers
8,865 papers found • Page 3 of 178
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
Shangda Yang, Vitaly Zankin, Maximilian Balandat et al.
Accelerating Neural Field Training via Soft Mining
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma et al.
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
Xunjiang Gu, Guanyu Song, Igor Gilitschenski et al.
Accelerating Parallel Sampling of Diffusion Models
Zhiwei Tang, Jiasheng Tang, Hao Luo et al.
Accelerating PDE Data Generation via Differential Operator Action in Solution Space
huanshuo dong, Hong Wang, Haoyang Liu et al.
Accelerating Sinkhorn algorithm with sparse Newton iterations
Xun Tang, Michael Shavlovsky, Holakou Rahmanian et al.
Accelerating Transformer Pre-training with 2:4 Sparsity
Yuezhou Hu, Kang Zhao, Weiyu Huang et al.
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
Puja Trivedi, Mark Heimann, Rushil Anirudh et al.
Accurate Forgetting for Heterogeneous Federated Continual Learning
Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang et al.
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
Haotong Qin, Xudong Ma, Xingyu Zheng et al.
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
Seungcheol Park, Hojun Choi, U Kang
Accurate Spatial Gene Expression Prediction by Integrating Multi-Resolution Features
Youngmin Chung, Ji Hun Ha, Kyeong Chan Im et al.
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory
Jonas Kälble, Sascha Wirges, Maxim Tatarchenko et al.
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
Tianying Ji, Yongyuan Liang, Yan Zeng et al.
A Cephalometric Landmark Regression Method based on Dual-encoder for High-resolution X-ray Image
Chao Dai, Wang Yang, Chaolin Huang et al.
A Characterization Theorem for Equivariant Networks with Point-wise Activations
Marco Pacini, Xiaowen Dong, Bruno Lepri et al.
Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
Peizhong Ju, Arnob Ghosh, Ness Shroff
Achieving Human Parity in Content-Grounded Datasets Generation
Asaf Yehudai, Boaz Carmeli, Yosi Mass et al.
Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning
Do-Yeon Kim, Dong-Jun Han, Jun Seo et al.
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
Mingze Wang, Zeping Min, Lei Wu
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
Yining Li, Peizhong Ju, Ness Shroff
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits
Wang Chi Cheung, Vincent Tan, Zixin Zhong
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks
Yixiang Qiu, Hao Fang, Hongyao Yu et al.
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed et al.
A Closer Look at the Limitations of Instruction Tuning
Sreyan Ghosh, Chandra Kiran Evuru, Sonal Kumar et al.
A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis
Kai Katsumata, Duc Minh Vo, Hideki Nakayama
A Comparative Study of Image Restoration Networks for General Backbone Network Design
Xiangyu Chen, Zheyuan Li, Yuandong Pu et al.
A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment
Tianhe Wu, Kede Ma, Jie Liang et al.
A Computational Framework for Solving Wasserstein Lagrangian Flows
Kirill Neklyudov, Rob Brekelmans, Alexander Tong et al.
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
Wentao Qu, Yuantian Shao, Lingwu Meng et al.
A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin, Francesca R Crucinio, Anna Korba
A Contextual Combinatorial Bandit Approach to Negotiation
Yexin Li, Zhancun Mu, Siyuan Qi
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
Akhil Agnihotri, Rahul Jain, Haipeng Luo
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
Onur Celik, Aleksandar Taranovic, Gerhard Neumann
Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
Michael Valancius, Maxwell Lennon, Junier Oliva
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
Guangchi Fang, Qingyong Hu, Longguang Wang et al.
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
Fei Kong, Jinhao Duan, Lichao Sun et al.
Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos
Changan Chen, Puyuan Peng, Ami Baid et al.
Action Detection via an Image Diffusion Process
Lin Geng Foo, Tianjiao Li, Hossein Rahmani et al.
Action Scene Graphs for Long-Form Understanding of Egocentric Videos
Ivan Rodin, Antonino Furnari, Kyle Min et al.
Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes
Chi-Hsi Kung, 書緯 呂, Yi-Hsuan Tsai et al.
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai, Yunxing Liao, Xing Liu et al.
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos
Kang Hyolim, Jeongseok Hyun, Joungbin An et al.
ActionVOS: Actions as Prompts for Video Object Segmentation
LIANGYANG OUYANG, Ruicong Liu, Yifei Huang et al.
Activation-Descent Regularization for Input Optimization of ReLU Networks
Hongzhan Yu, Sicun Gao
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
Masahiro Kato, Oga Akihiro, Wataru Komatsubara et al.
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images
Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu et al.
ActiveDC: Distribution Calibration for Active Finetuning
Wenshuai Xu, Zhenghui Hu, Yu Lu et al.
Active Generalized Category Discovery
Shijie Ma, Fei Zhu, Zhun Zhong et al.
Active Generation for Image Classification
Tao Huang, Jiaqi Liu, Shan You et al.