Poster Papers
24,624 papers found • Page 15 of 493
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
Di He, Songjun Tu, Ajay Jaiswal et al.
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
Junkang Wu, xue wang, Zhengyi Yang et al.
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
Junfeng Fang, Houcheng Jiang, Kun Wang et al.
AlphaFold Database Debiasing for Robust Inverse Folding
Cheng Tan, Zhenxiao Cao, Zhangyang Gao et al.
AlphaPO: Reward Shape Matters for LLM Alignment
Aman Gupta, Shao Tang, Qingquan Song et al.
AlphaPre: Amplitude-Phase Disentanglement Model for Precipitation Nowcasting
Kenghong Lin, Baoquan Zhang, Demin Yu et al.
AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning
Zhoufan Zhu, Ke Zhu
Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search
Boyan Li, Jiayi Zhang, Ju Fan et al.
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
Pranjal Aggarwal, Bryan Parno, Sean Welleck
Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks
Daniel Kunin, Giovanni Luca Marchetti, Feng Chen et al.
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
Xin Yu, Yujia Wang, Jinghui Chen et al.
ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
Lingfeng Wang, Hualing Lin, Senda Chen et al.
Always Skip Attention
Yiping Ji, Hemanth Saratchandran, Peyman Moghadam et al.
A Machine Learning Approach to Duality in Statistical Physics
Prateek Gupta, Andrea Ferrari, Nabil Iqbal
AM-Adapter: Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis in-the-Wild
Siyoon Jin, Jisu Nam, Jiyoung Kim et al.
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro
A Market for Accuracy: Classification Under Competition
Ohad Einav, Nir Rosenfeld
A Markov Decision Process for Variable Selection in Branch & Bound
Paul STRANG, Zacharie ALES, Côme Bissuel et al.
A Mathematical Framework for AI-Human Integration in Work
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
Niklas Freymuth, Tobias Würth, Nicolas Schreiber et al.
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
Asad Aali, Giannis Daras, Brett Levac et al.
AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction
Bin Rao, Haicheng Liao, Yanchen Guan et al.
AMDANet: Attention-Driven Multi-Perspective Discrepancy Alignment for RGB-Infrared Image Fusion and Segmentation
Haifeng Zhong, Fan Tang, Zhuo Chen et al.
A-Mem: Agentic Memory for LLM Agents
Wujiang Xu, Zujie Liang, Kai Mei et al.
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
Yiming Chen, yuan zhang, Yin Liu et al.
A Meta-learner for Heterogeneous Effects in Difference-in-Differences
Hui Lan, Chang, Eleanor W Dillon et al.
A Meta-Learning Approach to Bayesian Causal Discovery
Anish Dhir, Matthew Ashman, James Requeima et al.
A Minimalist Example of Edge-of-Stability and Progressive Sharpening
Liming Liu, Zixuan Zhang, Simon Du et al.
A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
Xiaoxuan Gong, Jie Ma
A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
Suyu Liu, Zhiguang Cao, Shanshan Feng et al.
A Mixture-Based Framework for Guiding Diffusion Models
Yazid Janati, Badr MOUFAD, Mehdi Qassime et al.
Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images
Tianhao Wu, Chuanxia Zheng, Frank Guan et al.
Amodal Depth Anything: Amodal Depth Estimation in the Wild
Zhenyu Li, Mykola Lavreniuk, Jian Shi et al.
AmorLIP: Efficient Language-Image Pretraining via Amortization
Haotian Sun, Yitong Li, Yuchen Zhuang et al.
Amortized Active Generation of Pareto Sets
Daniel Steinberg, Asiri Wijesinghe, Rafael Oliveira et al.
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Byoungwoo Park, Hyungi Lee, Juho Lee
Amortized Sampling with Transferable Normalizing Flows
Charlie Tan, Majdi Hassan, Leon Klein et al.
AMO Sampler: Enhancing Text Rendering with Overshooting
Xixi Hu, Keyang Xu, Bo Liu et al.
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
Tsai Hor Chan, Feng Wu, Yihang Chen et al.
AMPO: Active Multi Preference Optimization for Self-play Preference Selection
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang et al.
AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation
Zeyi Xu, Jinfan Liu, Kuangxu Chen et al.
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs
Zhaowei Zhang, Fengshuo Bai, Qizhi Chen et al.
A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection
Gaku Morio, Harri Rowlands, Dominik Stammbach et al.
A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals
Ziyu Jia, Tingyu Du, Zhengyu Tian et al.
A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules
Kairong Luo, Haodong Wen, Shengding Hu et al.
A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making
Yi Xie, Jaedong Hwang, Carlos Brody et al.
A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis
Xiaoyu Cui, Weixing Chen, Jiandong Su
A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
Fitsum Gaim, Hoyun Song, Huije Lee et al.
An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
Xu Shi, Rufeng Xiao, Rujun Jiang
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
Thibaut Boissin, Franck Mamalet, Thomas Fel et al.