Papers
Knowledge Distillation via Constrained Variational Inference
Ardavan Saeedi, Yuria Utsumi, Li Sun et al.
Knowledge-Enhanced Scene Graph Generation with Multimodal Relation Alignment (Student Abstract)
Ze Fu, Junhao Feng, Changmeng Zheng et al.
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
Sungwon Park, Sundong Kim, Meeyoung Cha
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
Aram Davtyan, Sepehr Sameni, Llukman Cerkezi et al.
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation
Junwen Pan, Qi Bi, Yanzhan Yang et al.
Label Hallucination for Few-Shot Classification
Yiren Jian, Lorenzo Torresani
LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening
Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang et al.
Laneformer: Object-Aware Row-Column Transformers for Lane Detection
Jianhua Han, Xiajun Deng, Xinyue Cai et al.
Language Modelling via Learning to Rank
Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz
Language Model Priming for Cross-Lingual Event Extraction
Steven Fincke, Shantanu Agarwal, Scott Miller et al.
Large-Neighbourhood Search for Optimisation in Answer-Set Solving
Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz et al.
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract)
Zhiyuan Wang, Fan Zhou, Kunpeng Zhang et al.
LaSSL: Label-Guided Self-Training for Semi-supervised Learning
Zhen Zhao, Luping Zhou, Lei Wang et al.
Latent Space Explanation by Intervention
Itai Gat, Guy Lorberbom, Idan Schwartz et al.
Latent Space Simulation for Carbon Capture Design Optimization
Brian Bartoldson, Rui Wang, Yucheng Fu et al.
Latent Time Neural Ordinary Differential Equations
Srinivas Anumasa, P. K. Srijith
L-CoDe:Language-Based Colorization Using Color-Object Decoupled Conditions
Shuchen Weng, Hao Wu, Zheng Chang et al.
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization
Zhiwei Chen, Changan Wang, Yabiao Wang et al.
Leaping through Time with Gradient-Based Adaptation for Recommendation
Nuttapong Chairatanakul, Hoang NT, Xin Liu et al.
Learngene: From Open-World to Your Learning Task
Qiu-Feng Wang, Xin Geng, Shu-Xia Lin et al.
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
Jinxin Liu, Donglin Wang, Qiangxing Tian et al.
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks
Yijie Guo, Qiucheng Wu, Honglak Lee
Learning Adversarial Markov Decision Processes with Delayed Feedback
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification
Zhiyu Fang, Xiaobin Zhu, Chun Yang et al.
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration
Sijie He, Xinyan Li, Laurie Trenary et al.