Poster Papers
24,624 papers found • Page 138 of 493
Conference
Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling
Zhaoyu Zhang, Yang Hua, Guanxiong Sun et al.
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
Fengfan Zhou, Bangjie Yin, Hefei Ling et al.
Improving the Variance of Differentially Private Randomized Experiments through Clustering
Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie
Improving Time Series Forecasting via Instance-aware Post-hoc Revision
Zhiding Liu, Mingyue Cheng, Guanhao Zhao et al.
Improving Transferable Targeted Attacks with Feature Tuning Mixup
Kaisheng Liang, Xuelong Dai, Yanjie Li et al.
Improving Transformer World Models for Data-Efficient RL
Antoine Dedieu, Joseph Ortiz, Xinghua Lou et al.
Improving Uncertainty Estimation through Semantically Diverse Language Generation
Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi et al.
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information
Junjie Chen, Xiangheng He, Yusuke Miyao et al.
Improving Value Estimation Critically Enhances Vanilla Policy Gradient
Tao Wang, Ruipeng Zhang, Sicun Gao
Improving Video Generation with Human Feedback
Jie Liu, Gongye Liu, Jiajun Liang et al.
Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration
yuxuan Gu, Huaian Chen, Yi Jin et al.
Improving Your Model Ranking on Chatbot Arena by Vote Rigging
Rui Min, Tianyu Pang, Chao Du et al.
ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences
Yuxin Wang, Xiaomeng Zhu, Weimin Lyu et al.
Imputation for prediction: beware of diminishing returns.
Marine Le Morvan, Gael Varoquaux
Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning
yuzhuo dai, Jiaqi Jin, Zhibin Dong et al.
IM-Zero: Instance-level Motion Controllable Video Generation in a Zero-shot Manner
Yuyang Huang, Yabo Chen, Li Ding et al.
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
Nicolas Lell, Ansgar Scherp
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
Hao Wei, Aleksandra Franz, Björn List et al.
Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints
Yan Dai, Negin Golrezaei, Patrick Jaillet
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
Tong Yang, Bo Dai, Lin Xiao et al.
Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
Valia Efthymiou, Chara Podimata, Diptangshu Sen et al.
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Xiaoxue Cheng, Junyi Li, Zhenduo Zhang et al.
Incentivizing LLMs to Self-Verify Their Answers
Fuxiang Zhang, Jiacheng Xu, Chaojie Wang et al.
Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models
Yulei Qin, Gang Li, Zongyi Li et al.
Incentivizing Time-Aware Fairness in Data Sharing
Jiangwei Chen, Kieu Thao Nguyen Pham, Rachael Sim et al.
Incentivizing Truthful Language Models via Peer Elicitation Games
Baiting Chen, Tong Zhu, Jiale Han et al.
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
Angelika Romanou, Negar Foroutan, Anna Sotnikova et al.
InCoDe: Interpretable Compressed Descriptions For Image Generation
Armand Comas, Aditya Chattopadhyay, Feliu Formosa et al.
Incomplete Multi-modal Brain Tumor Segmentation via Learnable Sorting State Space Model
Zheyu Zhang, Yayuan Lu, Feipeng Ma et al.
Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion
Xiaojian Ding, Lin Zhao, Xian Li et al.
Incomplete Multi-view Deep Clustering with Data Imputation and Alignment
Jiyuan Liu, Xinwang Liu, Xinhang Wan et al.
Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding
Xu Yan, Jun Yin, Jie Wen
In-Context Adaptation to Concept Drift for Learned Database Operations
Jiaqi Zhu, Shaofeng Cai, Shen et al.
In-Context Compositional Learning vis Sparse Coding Transformer
Wei Chen, Jingxi Yu, Zichen Miao et al.
In-Context Deep Learning via Transformer Models
Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu et al.
In-Context Editing: Learning Knowledge from Self-Induced Distributions
Siyuan Qi, Bangcheng Yang, Kailin Jiang et al.
In-Context Fine-Tuning for Time-Series Foundation Models
Matthew Faw, Rajat Sen, Yichen Zhou et al.
In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning
Chao Li, Bingkun BAO, Yang Gao
In-Context Learning and Occam's Razor
Eric Elmoznino, Tom Marty, Tejas Kasetty et al.
In-Context Learning as Conditioned Associative Memory Retrieval
Weimin Wu, Teng-Yun Hsiao, Jerry Yao-Chieh Hu et al.
In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation
Frank Cole, Yuxuan Zhao, Yulong Lu et al.
In-Context Learning of Stochastic Differential Equations with Foundation Inference Models
Patrick Seifner, Kostadin Cvejoski, David Berghaus et al.
In-Context Learning Strategies Emerge Rationally
Daniel Wurgaft, Ekdeep S Lubana, Core Francisco Park et al.
In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention
Jianliang He, Xintian Pan, Siyu Chen et al.
In-context Time Series Predictor
Jiecheng Lu, Yan Sun, Shihao Yang
Incorporating Arbitrary Matrix Group Equivariance into KANs
Lexiang Hu, Yisen Wang, Zhouchen Lin
Incorporating Dense Knowledge Alignment into Unified Multimodal Representation Models
Yuhao Cui, Xinxing Zu, Wenhua Zhang et al.
Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On
Siqi Wan, Jingwen Chen, Yingwei Pan et al.
Increasing the Utility of Synthetic Images through Chamfer Guidance
Nicola Dall'Asen, Xiaofeng Zhang, Reyhane Askari Hemmat et al.
Incremental Causal Effect for Time to Treatment Initialization
Andrew Ying, Zhichen Zhao, Ronghui Xu