Papers
11,955 papers found
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-based estimation for partially functional linear model: Minimax rates and randomized sketches
Shaogao Lv, Xin He, Junhui Wang
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
Language models are multilingual chain-of-thought reasoners
Freda Shi, Mirac Suzgun, Markus Freitag et al.
Language Models are Realistic Tabular Data Generators
Vadim Borisov, Kathrin Sessler, Tobias Leemann et al.
Language Models Can Teach Themselves to Program Better
Patrick Haluptzok, Matthew Bowers, Adam Tauman Kalai
Large Language Models are Human-Level Prompt Engineers
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han et al.
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson
Latent Bottlenecked Attentive Neural Processes
Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio et al.
Latent Graph Inference using Product Manifolds
Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero et al.
Latent Neural ODEs with Sparse Bayesian Multiple Shooting
Valerii Iakovlev, Cagatay Yildiz, Markus Heinonen et al.
Latent State Marginalization as a Low-cost Approach for Improving Exploration
Dinghuai Zhang, Aaron Courville, Yoshua Bengio et al.
Latent Variable Representation for Reinforcement Learning
Tongzheng Ren, Chenjun Xiao, Tianjun Zhang et al.
LAVA: Data Valuation without Pre-Specified Learning Algorithms
Hoang Anh Just, Feiyang Kang, Tianhao Wang et al.