Papers
Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination
Qi Shen, Junchang Xin, Bing Tian Dai et al.
Robust Sparse Regression with Non-Isotropic Designs
Chih-Hung Liu, Gleb Novikov
ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
Woosung Kim, Hayeong Lee, Jongmin Lee et al.
RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts
Jiaheng Liu, Zehao Ni, Haoran Que et al.
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
Easton Huch, Jieru Shi, Madeline R. Abbott et al.
RoPINN: Region Optimized Physics-Informed Neural Networks
Haixu Wu, Huakun Luo, Yuezhou Ma et al.
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
Fernando Moreno-Pino, Álvaro Arroyo, Harrison Waldon et al.
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
Shuhao Chen, Weisen Jiang, Baijiong Lin et al.
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions
Ziyao Zeng, Yangchao Wu, Hyoungseob Park et al.
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions
Yu-Ang Cheng, Ivan Felipe Rodriguez, Sixuan Chen et al.
Rule Based Rewards for Language Model Safety
Tong Mu, Alec Helyar, Johannes Heidecke et al.
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
Anna Mészáros, Szilvia Ujváry, Wieland Brendel et al.
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
Zhuoran jin, Pengfei Cao, Chenhao Wang et al.
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
Xinyu Yang, Jixuan Leng, Geyang Guo et al.
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
Weihao Lin, Shengji Tang, Chong Yu et al.
SA3DIP: Segment Any 3D Instance with Potential 3D Priors
Xi Yang, Xu Gu, Xingyilang Yin et al.
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage
Haobo Zhang, Xiyue Peng, Honghao Wei et al.
Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport
Zihao Tang, Yixuan Qiu
Safe Exploitative Play with Untrusted Type Beliefs
Tongxin Li, Tinashe Handina, Shaolei Ren et al.
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models
Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin et al.
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
Linglan Zhao, Xuerui Zhang, Ke Yan et al.
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset
Juntao Dai, Tianle Chen, Xuyao Wang et al.
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
Jialin Li, Marta Zagorowska, Giulia De Pasquale et al.
Safety through feedback in Constrained RL
Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
Richard Ren, Steven Basart, Adam Khoja et al.