Papers
Is Learning in Games Good for the Learners?
William Brown, Jon Schneider, Kiran Vodrahalli
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning
In Huh, changwook jeong, Jae Myung Choe et al.
ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
Ren Li, Benoît Guillard, Pascal Fua
Is RLHF More Difficult than Standard RL? A Theoretical Perspective
Yuanhao Wang, Qinghua Liu, Chi Jin
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
Anton Voronov, Mikhail Khoroshikh, Artem Babenko et al.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang et al.
Iteratively Learn Diverse Strategies with State Distance Information
Wei Fu, Weihua Du, Jingwei Li et al.
Iterative Reachability Estimation for Safe Reinforcement Learning
Milan Ganai, Zheng Gong, Chenning Yu et al.
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang, Xuefei Ning, Matthew Blaschko
Jailbroken: How Does LLM Safety Training Fail?
Alexander Wei, Nika Haghtalab, Jacob Steinhardt
Jigsaw: Learning to Assemble Multiple Fractured Objects
Jiaxin Lu, Yifan Sun, Qixing Huang
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition
Duo Peng, Li Xu, Qiuhong Ke et al.
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian et al.
Joint Data-Task Generation for Auxiliary Learning
Hong Chen, Xin Wang, Yuwei Zhou et al.
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
Lei Xu, Lei Chen, Rong Wang et al.
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Shurui Gui, Meng Liu, Xiner Li et al.
Joint processing of linguistic properties in brains and language models
SUBBAREDDY OOTA, Manish Gupta, Mariya Toneva
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté et al.
Joint Training of Deep Ensembles Fails Due to Learner Collusion
Alan Jeffares, Tennison Liu, Jonathan Crabbé et al.
JourneyDB: A Benchmark for Generative Image Understanding
Keqiang Sun, Junting Pan, Yuying Ge et al.
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng et al.
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega et al.
Katakomba: Tools and Benchmarks for Data-Driven NetHack
Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov et al.
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
Lujun Li, Peijie Dong, Anggeng Li et al.
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control
Chao Li, Chen GONG, Qiang He et al.