2024 Poster Papers
8,865 papers found • Page 7 of 178
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation
Lorenzo Mur Labadia, Ruben Martinez-Cantin, Jose J Guerrero et al.
A Field Guide for Pacing Budget and ROS Constraints
Santiago Balseiro, Kshipra Bhawalkar, Zhe Feng et al.
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
Jiayi Wang, Zhengling Qi, Raymond K. W. Wong
A Fixed-Point Approach for Causal Generative Modeling
Meyer Scetbon, Joel Jennings, Agrin Hilmkil et al.
A Foundation Model for Error Correction Codes
Yoni Choukroun, Lior Wolf
A Framework and Benchmark for Deep Batch Active Learning for Regression
David Holzmüller, Viktor Zaverkin, Johannes Kästner et al.
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
Riccardo Fogliato, Pratik Patil, Mathew Monfort et al.
A Framework for Inference Inspired by Human Memory Mechanisms
Xiangyu Zeng, Jie Lin, Piao Hu et al.
AFreeCA: Annotation-Free Counting for All
Adriano DAlessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
Nicholas Monath, Will Grathwohl, Michael Boratko et al.
A General and Efficient Training for Transformer via Token Expansion
Wenxuan Huang, Yunhang Shen, Jiao Xie et al.
A General Framework for Learning from Weak Supervision
Hao Chen, Jindong Wang, Lei Feng et al.
A General Framework for Sequential Decision-Making under Adaptivity Constraints
Nuoya Xiong, Zhaoran Wang, Zhuoran Yang
A Generalist Agent
Jackie Kay, Sergio Gómez Colmenarejo, Mahyar Bordbar et al.
A General Online Algorithm for Optimizing Complex Performance Metrics
Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis et al.
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
Huy Nguyen, Pedram Akbarian, TrungTin Nguyen et al.
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
Baohong Li, Haoxuan Li, Anpeng Wu et al.
A Generative Approach for Wikipedia-Scale Visual Entity Recognition
Mathilde Caron, Ahmet Iscen, Alireza Fathi et al.
Agent3D-Zero: An Agent for Zero-shot 3D Understanding
Sha Zhang, Di Huang, Jiajun Deng et al.
Agent Attention: On the Integration of Softmax and Linear Attention
Dongchen Han, Tianzhu Ye, Yizeng Han et al.
AgentBench: Evaluating LLMs as Agents
Xiao Liu, Hao Yu, Hanchen Zhang et al.
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
Nicholas Crispino, Kyle Montgomery, Fankun Zeng et al.
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
Xiangming Gu, Xiaosen Zheng, Tianyu Pang et al.
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal et al.
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
Weize Chen, Yusheng Su, Jingwei Zuo et al.
A Geometric Distortion Immunized Deep Watermarking Framework with Robustness Generalizability
Linfeng Ma, Han Fang, Tianyi Wei et al.
A Geometric Explanation of the Likelihood OOD Detection Paradox
Hamidreza Kamkari, Brendan Ross, Jesse Cresswell et al.
Agglomerative Token Clustering
Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor et al.
A Global Geometric Analysis of Maximal Coding Rate Reduction
Peng Wang, Huikang Liu, Druv Pai et al.
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
Yichen Li, Chicheng Zhang
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
Avishek Ghosh, Arya Mazumdar
A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
Ayan Sengupta, Shantanu Dixit, Md Shad Akhtar et al.
A Graph-Based Approach for Category-Agnostic Pose Estimation
Or Hirschorn, Shai Avidan
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
Zhangyang Gao, Daize Dong, Cheng Tan et al.
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Jintang Li, Huizhe Zhang, Ruofan Wu et al.
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
Zhengbo Wang, Jian Liang, Lijun Sheng et al.
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
Zhihai Wang, Jie Wang, Dongsheng Zuo et al.
A high-quality robust diffusion framework for corrupted dataset
Quan Dao, Binh Ta, Tung Pham et al.
AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval
Sixing Yan, William K. Cheung, Ivor Tsang et al.
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta et al.
AI Alignment with Changing and Influenceable Reward Functions
Micah Carroll, Davis Foote, Anand Siththaranjan et al.
AI Control: Improving Safety Despite Intentional Subversion
Ryan Greenblatt, Buck Shlegeris, Kshitij Sachan et al.
AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling
Sherry Chen, Yaron Vaxman, Elad Ben Baruch et al.
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving
Mingfu Liang, Jong-Chyi Su, Samuel Schulter et al.
AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
Qingping SUN, Yanjun Wang, Ailing Zeng et al.
AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
Jamie Watson, Filippo Aleotti, Mohamed Sayed et al.
Ai-sampler: Adversarial Learning of Markov kernels with involutive maps
Evgenii Egorov, Riccardo Valperga, Efstratios Gavves
ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
Sunghyeon Woo, SunWoo Lee, Dongsuk Jeon
A Language Model’s Guide Through Latent Space
Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann et al.
Alchemist: Parametric Control of Material Properties with Diffusion Models
Prafull Sharma, Varun Jampani, Yuanzhen Li et al.