Papers
Step-by-step Layered Design Generation
Faizan Farooq Khan, Joseph K J, Koustava Goswami et al.
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability
Loukas Kavouras, Eleni Psaroudaki, Konstantinos Tsopelas et al.
Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching
Ivan Karpukhin, Andrey Savchenko
HiCL: Hippocampal-Inspired Continual Learning
Kushal Kapoor, Wyatt Mackey, Yiannis Aloimonos et al.
GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation
Sungmin Kang, Jisoo Kim, Salman Avestimehr et al.
Understanding and Enhancing Differentiable Architecture Search from Information Bottleneck Perspective
Haidong Kang, Lianbo Ma, Pengjun Chen et al.
Sparse Additive Model Pruning for Order-Based Causal Structure Learning
Kentaro Kanamori, Hirofumi Suzuki, Takuya Takagi
Quantum Transformer for Molecular Learning: Multi-Configuration Ground-State Energy Prediction
Yuichi Kamata, Quoc Hoan Tran, Yasuhiro Endo et al.
HALO: Hardware-Aware Quantization with Low Critical-Path-Delay Weights for LLM Acceleration
Rohan Juneja, Shivam Aggarwal, Safeen Huda et al.
EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models
Linglin Jing, Yuting Gao, Zhigang Wang et al.
Signal Enhancement via Multi-view Dynamic Representation and Alignment-aware Fusion
Zikun Jin, Yuhua Qian, Xinyan Liang et al.
SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing
Zewen Jin, Shen Fu, Chengjie Tang et al.
Partial Action Replacement: Tackling Distribution Shift in Offline MARL
Yue Jin, Giovanni Montana
GeoNum: Bridging Numerical Continuity and Language Semantics via Geometric Embedding
Shengkai Jin, Tianyu Chen, Chonghan Gao et al.
Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
Pengfei Jin, Peng Shu, Sifan Song et al.
Addressing Polarization and Unfairness in Performative Prediction
Kun Jin, Tian Xie, Yang Liu et al.
Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond
Kaifeng Jin, Ignavier Ng, Kun Zhang et al.
A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path Sampler
Cheng Jin, Zhenyu Xiao, Yuantao Gu
DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs
Ying Jiao, Rodrigo Castellano Ontiveros, Luc De Raedt et al.
DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation
Jiajun Jiao, Haowei Zhu, Puyuan Yang et al.
Multi-agent In-context Coordination via Decentralized Memory Retrieval
Tao Jiang, Zichuan Lin, Lihe Li et al.
UQ-ViT: Harmonizing Extreme Activations with Hardware-Friendly Uniform Quantization in Vision Transformers
Tao Jiang, Yucheng Jiang, Xiwen Yao et al.
Multi-Label Classification with Incremental and Decremental Features
Mingdie Jiang, Quanjiang Li, Tingjin Luo et al.
DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning
Lifan Jiang, Mengying Zhu, Yangyang Wu et al.