Papers
No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
Davide Legacci, Panayotis Mertikopoulos, Christos Papadimitriou et al.
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
Alex Rutherford, Michael Beukman, Timon Willi et al.
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
Skander Moalla, Andrea Miele, Daniil Pyatko et al.
Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering
Meng Wei, Qianyi Wu, Jianmin Zheng et al.
Normalization and effective learning rates in reinforcement learning
Clare Lyle, Zeyu Zheng, Khimya Khetarpal et al.
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers
Gavia Gray, Aman Tiwari, Shane Bergsma et al.
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
Benyuan Meng, Qianqian Xu, Zitai Wang et al.
Not All Tokens Are What You Need for Pretraining
Zhenghao Lin, Zhibin Gou, Yeyun Gong et al.
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Yanyi Zhang, Binglin Qiu, Qi Jia et al.
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
Walter Simoncini, Spyros Gidaris, Andrei Bursuc et al.
Not so griddy: Internal representations of RNNs path integrating more than one agent
William T. Redman, Francisco Acosta, Santiago Acosta-Mendoza et al.
Novel Object Synthesis via Adaptive Text-Image Harmony
Zeren Xiong, Zedong Zhang, Zikun Chen et al.
NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics
Jingbo Zhou, Shaorong Chen, Jun Xia et al.
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh et al.
Nuclear Fusion Diamond Polishing Dataset
Antonios Alexos, Junze Liu, Shashank Galla et al.
Nuclear Norm Regularization for Deep Learning
Christopher Scarvelis, Justin Solomon
NVRC: Neural Video Representation Compression
Ho Man Kwan, Ge Gao, Fan Zhang et al.
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
Minghao Shao, Sofija Jancheska, Meet Udeshi et al.
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps
Josh Veitch-Michaelis, Andrew Cottam, Daniella Schweizer et al.
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Yihang Yao, Zhepeng Cen, Wenhao Ding et al.
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli
Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
Observational Scaling Laws and the Predictability of Langauge Model Performance
Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
Owen Dugan, Donato M. Jiménez-Benetó, Charlotte Loh et al.
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors
Adam Sun, Tiange Xiang, Scott Delp et al.