Papers
11,015 papers found
Is a Caption Worth a Thousand Images? A Study on Representation Learning
Shibani Santurkar, Yann Dubois, Rohan Taori et al.
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
Rui Wen, Zhengyu Zhao, Zhuoran Liu et al.
Is Attention All That NeRF Needs?
Mukund Varma T, Peihao Wang, Xuxi Chen et al.
Is Conditional Generative Modeling all you need for Decision Making?
Anurag Ajay, Yilun Du, Abhi Gupta et al.
Is Forgetting Less a Good Inductive Bias for Forward Transfer?
Jiefeng Chen, Timothy Nguyen, Dilan Gorur et al.
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
Ruijie Zheng, Xiyao Wang, Huazhe Xu et al.
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley et al.
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li et al.
IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?
Ruifei He, Shuyang Sun, Xin Yu et al.
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee et al.
Iterative Circuit Repair Against Formal Specifications
Matthias Cosler, Frederik Schmitt, Christopher Hahn et al.
Iterative Patch Selection for High-Resolution Image Recognition
Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
Shuai Zhang, Meng Wang, Pin-Yu Chen et al.
Jointly Learning Visual and Auditory Speech Representations from Raw Data
Alexandros Haliassos, Pingchuan Ma, Rodrigo Mira et al.
Kernel Neural Optimal Transport
Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
kNN-Diffusion: Image Generation via Large-Scale Retrieval
Shelly Sheynin, Oron Ashual, Adam Polyak et al.
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
Yufei Wang, Jiayi Zheng, Can Xu et al.
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
Bin Xia, Yulun Zhang, Yitong Wang et al.
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
Xiaoman Pan, Wenlin Yao, Hongming Zhang et al.
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
Rui Wang, Yihe Dong, Sercan O Arik et al.
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
Sandeep Silwal, Sara Ahmadian, Andrew Nystrom et al.
Label-free Concept Bottleneck Models
Tuomas Oikarinen, Subhro Das, Lam M. Nguyen et al.
Label Propagation with Weak Supervision
Rattana Pukdee, Dylan Sam, Pradeep Kumar Ravikumar et al.
Language Modelling with Pixels
Phillip Rust, Jonas F. Lotz, Emanuele Bugliarello et al.
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov, He He