Papers
11,951 papers found
Mastering Atari with Discrete World Models
Danijar Hafner, Timothy P Lillicrap, Mohammad Norouzi et al.
MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
Guozhi Tang, Lele Xie, Lianwen Jin et al.
Mathematical Reasoning via Self-supervised Skip-tree Training
Markus Norman Rabe, Dennis Lee, Kshitij Bansal et al.
Measuring Massive Multitask Language Understanding
Dan Hendrycks, Collin Burns, Steven Basart et al.
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
Nanyi Fei, Zhiwu Lu, Tao Xiang et al.
Memory Optimization for Deep Networks
Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan et al.
Meta Back-Translation
Hieu Pham, Xinyi Wang, Yiming Yang et al.
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
Dong Bok Lee, Dongchan Min, Seanie Lee et al.
Meta-Learning of Structured Task Distributions in Humans and Machines
Sreejan Kumar, Ishita Dasgupta, Jonathan Cohen et al.
Meta-learning Symmetries by Reparameterization
Allan Zhou, Tom Knowles, Chelsea Finn
Meta-learning with negative learning rates
Alberto Bernacchia
Meta-Learning with Neural Tangent Kernels
Yufan Zhou, Zhenyi Wang, Jiayi Xian et al.
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
Yingjun Du, Xiantong Zhen, Ling Shao et al.
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
Tsung Wei Tsai, Chongxuan Li, Jun Zhu
Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval
Qingchao Chen, Yang Liu, Samuel Albanie
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Justin Bayer, Maximilian Soelch, Atanas Mirchev et al.
Mind the Pad -- CNNs Can Develop Blind Spots
Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani et al.
Minimum Width for Universal Approximation
Sejun Park, Chulhee Yun, Jaeho Lee et al.
Mining the Benefits of Two-stage and One-stage HOI Detection
Aixi Zhang, Yue Liao, Si Liu et al.
MIROSTAT: A NEURAL TEXT DECODING ALGORITHM THAT DIRECTLY CONTROLS PERPLEXITY
Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar et al.
Mitigating Forgetting in Online Continual Learning with Neuron Calibration
Haiyan Yin, peng yang, Ping Li
Mixed-Features Vectors and Subspace Splitting
Alejandro Pimentel-Alarcón, Daniel L. Pimentel-Alarcón
MixKD: Towards Efficient Distillation of Large-scale Language Models
Kevin J Liang, Weituo Hao, Dinghan Shen et al.
MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
Tsz-Him Cheung, Dit-Yan Yeung
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
Balázs Kégl, Gabriel Hurtado, Albert Thomas