Poster Papers
24,624 papers found • Page 23 of 493
Conference
A Tiny Change, A Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment
xinyi lai, Luojun Lin, Weijie Chen et al.
ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data
Xiaoyang Liu, Kangjie Bao, Jiashuo Zhang et al.
AtlasD: Automatic Local Symmetry Discovery
Manu Bhat, Jonghyun Park, Jianke Yang et al.
ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling
Jinhyung Park, Javier Romero, Shunsuke Saito et al.
Atlas Gaussians Diffusion for 3D Generation
Haitao Yang, Yuan Dong, Hanwen Jiang et al.
AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians
Xiyu Zhang, Chong Bao, YiPeng Chen et al.
AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science
Chenyue Li, Wen Deng, Mengqian Lu et al.
A Token-level Text Image Foundation Model for Document Understanding
Tongkun Guan, Zining Wang, Pei Fu et al.
AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward
Haonan Han, Xiangzuo Wu, Huan Liao et al.
Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation
Yikun Zhang, Geyan Ye, Chaohao Yuan et al.
Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra
Ziyu Xiong, Yichi Zhang, Foyez Alauddin et al.
Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities
Jiayi Kuang, Haojing Huang, Yinghui Li et al.
Atom of Thoughts for Markov LLM Test-Time Scaling
Fengwei Teng, Quan Shi, Zhaoyang Yu et al.
AtomSurf: Surface Representation for Learning on Protein Structures
Vincent Mallet, Yangyang Miao, Souhaib Attaiki et al.
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
Mohamed Afane, Gabrielle Ebbrecht, Ying Wang et al.
ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models
Xubing Ye, Yukang Gan, Yixiao Ge et al.
A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
Heejun Lee, Geon Park, Youngwan Lee et al.
A Transfer Attack to Image Watermarks
Yuepeng Hu, Zhengyuan Jiang, Moyang Guo et al.
A transfer learning framework for weak to strong generalization
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee et al.
A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity
Giordano Cicchetti, Eleonora Grassucci, Danilo Comminiello
A Trichotomy for List Transductive Online Learning
Steve Hanneke, Amirreza Shaeiri
A Truncated Newton Method for Optimal Transport
Mete Kemertas, Amir-massoud Farahmand, Allan Jepson
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool
Jiangtong Li, Dongyi Liu, Kun Zhu et al.
Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs
Zhixin Xie, Xurui Song, Jun Luo
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration
Haipeng Fang, Sheng Tang, Juan Cao et al.
Attention as a Hypernetwork
Simon Schug, Seijin Kobayashi, Yassir Akram et al.
Attention (as Discrete-Time Markov) Chains
Yotam Erel, Olaf Dünkel, Rishabh Dabral et al.
Attention-based clustering
Rodrigo Maulen Soto, Pierre Marion, Claire Boyer
Attention Distillation: A Unified Approach to Visual Characteristics Transfer
Yang Zhou, Xu Gao, Zichong Chen et al.
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
Shijie Chen, Bernal Jimenez Gutierrez, Yu Su
Attention IoU: Examining Biases in CelebA using Attention Maps
Aaron Serianni, Tyler Zhu, Olga Russakovsky et al.
Attention layers provably solve single-location regression
Pierre Marion, Raphaël Berthier, Gérard Biau et al.
Attention-Level Speculation
Jack Cai, Ammar Vora, Randolph Zhang et al.
Attention Mechanism, Max-Affine Partition, and Universal Approximation
Hude Liu, Jerry Yao-Chieh Hu, Zhao Song et al.
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Guan Zhong, Likang Wu, Hongke Zhao et al.
Attention-Only Transformers via Unrolled Subspace Denoising
Peng Wang, Yifu Lu, Yaodong Yu et al.
Attention on the Sphere
Boris Bonev, Max Rietmann, Andrea Paris et al.
Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings
Stephen Zhang, Mustafa Khan, Vardan Papyan
Attention to Neural Plagiarism: Diffusion Models Can Plagiarize Your Copyrighted Images!
zihang zou, Boqing Gong, Liqiang Wang
Attention to the Burtiness in Visual Prompt Tuning!
Yuzhu Wang, Manni Duan, Shu Kong
Attention to Trajectory: Trajectory-Aware Open-Vocabulary Tracking
Yunhao Li, Yifan Jiao, Dan Meng et al.
Attention with Markov: A Curious Case of Single-layer Transformers
Ashok Makkuva, Marco Bondaschi, Adway Girish et al.
Attention with Trained Embeddings Provably Selects Important Tokens
Diyuan Wu, Aleksandr Shevchenko, Samet Oymak et al.
Attention! Your Vision Language Model Could Be Maliciously Manipulated
Xiaosen Wang, Shaokang Wang, Zhijin Ge et al.
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang et al.
Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools
Kanghua Mo, Li Hu, Yucheng Long et al.
AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution
Fengyuan Liu, Nikhil Kandpal, Colin Raffel
Attribute-based Visual Reprogramming for Vision-Language Models
Chengyi Cai, Zesheng Ye, Lei Feng et al.
Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
Jianyang Zhang, Qianli Luo, Guowu Yang et al.
Attribute-Missing Multi-view Graph Clustering
Bowen Zhao, Qianqian Wang, Zhengming Ding et al.