All Papers
34,598 papers found • Page 665 of 692
Conference
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
Shen Nie, Hanzhong Guo, Cheng Lu et al.
The Causal Impact of Credit Lines on Spending Distributions
Yijun Li, Cheuk Hang Leung, Xiangqian Sun et al.
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama
The Complexity of Computing Robust Mediated Equilibria in Ordinal Games
The Complexity of Fair Division of Indivisible Items with Externalities
Argyrios Deligkas, Eduard Eiben, Viktoriia Korchemna et al.
The Computational Complexity of Finding Second-Order Stationary Points
Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos et al.
The Consensus Game: Language Model Generation via Equilibrium Search
Athul Jacob, Yikang Shen, Gabriele Farina et al.
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
Tian Jin, Nolan Clement, Xin Dong et al.
The Curse of Diversity in Ensemble-Based Exploration
Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin et al.
The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing
Denis Bobkov, Vadim Titov, Aibek Alanov et al.
The Devil is in the Fine-Grained Details: Evaluating Open-Vocabulary Object Detectors for Fine-Grained Understanding
Lorenzo Bianchi, Fabio Carrara, Nicola Messina et al.
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
Yan Liu, Yu Liu, Xiaokang Chen et al.
The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models
cheng shi, Sibei Yang
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
Muyang Qiu, Jian Zhang, Lei Qi et al.
The Effective Horizon Explains Deep RL Performance in Stochastic Environments
Cassidy Laidlaw, Banghua Zhu, Stuart Russell et al.
The Effectiveness of Random Forgetting for Robust Generalization
Vijaya Raghavan T Ramkumar, Bahram Zonooz, Elahe Arani
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Nicholas Konz, Maciej Mazurowski
The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks
Songhua He, Periklis Papakonstantinou
The Emergence of Reproducibility and Consistency in Diffusion Models
Huijie Zhang, Jinfan Zhou, Yifu Lu et al.
The Entropy Enigma: Success and Failure of Entropy Minimization
Ori Press, Ravid Shwartz-Ziv, Yann LeCun et al.
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
Amitay Bar, Rotem Mulayoff, Tomer Michaeli et al.
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
Aaron Spieler, Nasim Rahaman, Georg Martius et al.
The Expressive Power of Low-Rank Adaptation
Yuchen Zeng, Kangwook Lee
The Expressive Power of Path-Based Graph Neural Networks
Caterina Graziani, Tamara Drucks, Fabian Jogl et al.
The Expressive Power of Transformers with Chain of Thought
William Merrill, Ashish Sabharwal
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation
Yi Yao, Chan-Feng Hsu, Jhe-Hao Lin et al.
The False Promise of Imitating Proprietary Language Models
Arnav Gudibande, Eric Wallace, Charlie Snell et al.
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
Qinyu Zhao, Ming Xu, Kartik Gupta et al.
The Fundamental Limits of Least-Privilege Learning
Theresa Stadler, Bogdan Kulynych, Michael Gastpar et al.
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
Anselm Haselhoff, Kevin Trelenberg, Fabian Küppers et al.
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta, Qingfei You, Minqi Jiang et al.
The Generative AI Paradox: “What It Can Create, It May Not Understand”
Peter West, Ximing Lu, Nouha Dziri et al.
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
Chi-Heng Lin, Chiraag Kaushik, Eva Dyer et al.
The Good, The Bad, and Why: Unveiling Emotions in Generative AI
CHENG LI, Jindong Wang, Yixuan Zhang et al.
The Hard Positive Truth about Vision-Language Compositionality
Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang et al.
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
Michael Zhang, Kush Bhatia, Hermann Kumbong et al.
The Hidden Language of Diffusion Models
Hila Chefer, Oran Lang, Mor Geva et al.
The Human-AI Substitution game: active learning from a strategic labeler
Tom Yan, Chicheng Zhang
The Illusion of State in State-Space Models
William Merrill, Jackson Petty, Ashish Sabharwal
The importance of feature preprocessing for differentially private linear optimization
Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon
The Irrelevance of Influencers: Information Diffusion with Re
Activation and Immunity Lasts Exponentially Long on Social Network Models
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
Daniel Goldfarb, Itay Evron, Nir Weinberger et al.
The Linear Representation Hypothesis and the Geometry of Large Language Models
Kiho Park, Yo Joong Choe, Victor Veitch
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
Blaise Delattre, Alexandre Araujo, Quentin Barthélemy et al.
The LLM Surgeon
Tycho van der Ouderaa, Markus Nagel, Mart van Baalen et al.
The Logic of Doxastic Strategies
Junli Jiang, Pavel Naumov
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization
Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa
The Manga Whisperer: Automatically Generating Transcriptions for Comics
Ragav Sachdeva, Andrew Zisserman
The Marginal Value of Momentum for Small Learning Rate SGD
Runzhe Wang, Sadhika Malladi, Tianhao Wang et al.
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
Giseung Park, woohyeon Byeon, Seongmin Kim et al.