Papers
11,015 papers found
More or Less: When and How to Build Convolutional Neural Network Ensembles
Abdul Wasay, Stratos Idreos
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
Duy Kien Nguyen, Vedanuj Goswami, Xinlei Chen
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
Kanil Patel, William H. Beluch, Bin Yang et al.
Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
Timothy Castiglia, Anirban Das, Stacy Patterson
MultiModalQA: complex question answering over text, tables and images
Alon Talmor, Ori Yoran, Amnon Catav et al.
Multiplicative Filter Networks
Rizal Fathony, Anit Kumar Sahu, Devin Willmott et al.
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer, Bhavya Kailkhura
Multi-resolution modeling of a discrete stochastic process identifies causes of cancer
Adam Uri Yaari, Maxwell Sherman, Oliver Clarke Priebe et al.
Multiscale Score Matching for Out-of-Distribution Detection
Ahsan Mahmood, Junier Oliva, Martin Andreas Styner
Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla, Benjamin Marlin
Multi-timescale Representation Learning in LSTM Language Models
Shivangi Mahto, Vy Ai Vo, Javier S. Turek et al.
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster et al.
Mutual Information State Intrinsic Control
Rui Zhao, Yang Gao, Pieter Abbeel et al.
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
Vitaly Kurin, Maximilian Igl, Tim Rocktäschel et al.
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition
Abhinav Mehrotra, Alberto Gil C. P. Ramos, Sourav Bhattacharya et al.
NBDT: Neural-Backed Decision Tree
Alvin Wan, Lisa Dunlap, Daniel Ho et al.
Nearest Neighbor Machine Translation
Urvashi Khandelwal, Angela Fan, Dan Jurafsky et al.
Negative Data Augmentation
Abhishek Sinha, Kumar Ayush, Jiaming Song et al.
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
Angtian Wang, Adam Kortylewski, Alan Yuille
Net-DNF: Effective Deep Modeling of Tabular Data
Liran Katzir, Gal Elidan, Ran El-Yaniv
Network Pruning That Matters: A Case Study on Retraining Variants
Duong Hoang Le, Binh-Son Hua
Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen, Dinghuai Zhang, Michael U. Gutmann et al.
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
Wuyang Chen, Xinyu Gong, Zhangyang Wang
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
Yige Li, Xixiang Lyu, Nodens Koren et al.
Neural Delay Differential Equations
Qunxi Zhu, Yao Guo, Wei Lin