Papers
OnEDIT: Online Editing with Decoupled Implicit Task for Large Language Models
Chae-Won Lee, Jae-Hong Lee, Ji-Hun Kang et al.
Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information
Antoine Ledent, Soo Mun Chong, Nong Minh Hieu
Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa et al.
Cooperative Graph Transformer with Structural Consensus for Multi-View Learning
Zhiyuan Lai, Jiacheng Li, Jiayuan Wang et al.
Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning
Xuan Lai, Luying Zhong, Tianying Lu et al.
Stabilizing Spiking Neurons Through Biologically Inspired Polarization
Matthew Lai, Longbing Cao
Fairness Aware Reinforcement Learning via Proximal Policy Optimization
Gabriele La Malfa, Jie M. Zhang, Michael Luck et al.
HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models
Young D. Kwon, Rui Li, Sijia Li et al.
Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States
Kyoleen Kwak, Hyoseok Hwang
DIET: Machine Unlearning on a Data-Diet
Nilakshan Kunananthaseelan, Jing Wu, Trung Le et al.
MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Sonal Kumar, Šimon Sedláček, Vaibhavi Lokegaonkar et al.
Cliqueformer: Model-Based Optimization with Structured Transformers
Jakub Grudzien Kuba, Pieter Abbeel, Sergey Levine
Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks
Deniz Koyuncu, Alex Gittens, Bülent Yener et al.
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling
Linghao Kong, Xiaopeng Hong
LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention
Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu et al.
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
Brandon Knutson, Amandin Chyba Rabeendran, Michael Ivanitskiy et al.
Object-Centric Latent Action Learning
Albina Klepach, Alexander Nikulin, Ilya Zisman et al.
Robust Detection of Synthetic Tabular Data Under Schema Variability
G. Charbel N. Kindji, Elisa Fromont, Lina M. Rojas-Barahona et al.
Physics-Informed Approach for Exploratory Hamilton–Jacobi–Bellman Equations via Policy Iterations
Yeongjong Kim, Namkyeong Cho, Minseok Kim et al.
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
Sunwoo Kim, Soo Yong Lee, Kyungho Kim et al.
A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm
Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis
TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing
Jongha Kim, Minseong Bae, Sanghyeok Lee et al.
BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?
DoYoung Kim, Jin-Seop Lee, Noo-ri Kim et al.