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21007
papertalks found
06/12/2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
,
Issei Sato
Keywords
Abstract
Paper
machine learning
,
representation learning
8:50
06/12/2020
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
Chung-Wei Lee
,
Haipeng Luo
,
Chen-Yu Wei
,
Mengxiao Zhang
Keywords
Abstract
Paper
3:16
06/12/2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Alexander Korotin
,
Lingxiao Li
,
Aude Genevay
and
Justin Solomon
,
Alexander Filippov
,
Evgeny Burnaev
Keywords
Abstract
Paper
deep learning
,
machine learning
,
generative model
,
optimal transport
13:39
25/04/2020
Rapid Iron-On User Interfaces: Hands-on Fabrication of Interactive Textile Prototypes
Konstantin Klamka
,
Raimund Dachselt
,
Jürgen Steimle
Keywords
Abstract
Paper
e-textile
,
wearable ui
,
fabrication
,
prototyping
,
iron-on
14:58
12/07/2020
Overfitting in adversarially robust deep learning
Eric Wong
,
Leslie Rice
,
Zico Kolter
Keywords
Abstract
Paper
Adversarial Examples
14:44
04/11/2020
SafetyPin: Encrypted Backups with Human-Memorable Secrets
Emma Dauterman
,
Henry Corrigan-Gibbs
,
David Mazières
Keywords
Abstract
Paper
18:27
26/08/2020
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport
François-Pierre Paty
,
Alexandre d'Aspremont
,
Marco Cuturi
Keywords
Abstract
Paper
14:47
14/06/2020
Recurrent Feature Reasoning for Image Inpainting
Jingyuan Li
,
Ning Wang
,
Lefei Zhang
and
Bo Du
,
Dacheng Tao
Keywords
Abstract
Paper
inpainting
,
synthesize
,
image
,
generation
,
manipulation
,
completion
,
restoration
1:01
06/12/2020
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method
Michal Derezinski
,
Rajiv Khanna
,
Michael W Mahoney
Keywords
Abstract
Paper
3:30
18/07/2021
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
Quynh Nguyen
,
Marco Mondelli
,
Guido Montufar
Keywords
Abstract
Paper
Theory
,
Deep learning Theory
5:04
03/05/2021
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training
Beidi Chen
,
Zichang Liu
,
Binghui Peng
and
Zhaozhuo Xu
,
Jonathan L Li
,
Tri Dao
,
Zhao Song
,
Anshumali Shrivastava
,
Christopher Re
Keywords
Abstract
Paper
Randomized Algorithms
,
Efficient Training
,
Large-scale Machine Learning
,
Large-scale Deep Learning
15:07
06/12/2021
On the Algorithmic Stability of Adversarial Training
Yue Xing
,
Qifan Song
,
Guang Cheng
Keywords
Abstract
Paper
deep learning
,
adversarial robustness and security
13:00
12/07/2020
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
Alberto Maria Metelli
,
Flavio Mazzolini
,
Lorenzo Bisi
and
Luca Sabbioni
,
Marcello Restelli
Keywords
Abstract
Paper
Reinforcement Learning - General
14:17
13/04/2021
An efficient algorithm for generalized linear bandit: Online stochastic gradient descent and thompson sampling
Qin Ding
,
Cho-Jui Hsieh
,
James Sharpnack
Keywords
Abstract
Paper
3:03
26/04/2020
Encoding word order in complex embeddings
Benyou Wang
,
Donghao Zhao
,
Christina Lioma
and
Qiuchi Li
,
Peng Zhang
,
Jakob Grue Simonsen
Keywords
Abstract
Paper
word embedding
,
complex-valued neural network
,
position embedding
4:51
04/11/2020
KungFu: Making Training in Distributed Machine Learning Adaptive
Luo Mai
,
Guo Li
,
Marcel Wagenländer
and
Konstantinos Fertakis
,
Andrei-Octavian Brabete
,
Peter Pietzuch
Keywords
Abstract
Paper
20:14
02/02/2021
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
Linjie Yang
,
Qing Jin
Keywords
Abstract
Paper
14:07
06/12/2020
Ultrahyperbolic Representation Learning
Marc Law
,
Jos Stam
Keywords
Abstract
Paper
3:04
02/02/2021
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
Zelin Zhao
,
Chuang Gan
,
Jiajun Wu
and
Xiaoxiao Guo
,
Joshua B. Tenenbaum
Keywords
Abstract
Paper
14:48
19/08/2021
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
Mattia Medina Grespan
,
Ashim Gupta
,
Vivek Srikumar
Keywords
Abstract
Paper
Machine Learning
,
Neuro-Symbolic Methods
,
Knowledge Aided Learning
,
Deep Learning
15:29
08/12/2020
XplaiNLI: Explainable Natural Language Inference through Visual Analytics
Aikaterini-Lida Kalouli
,
Rita Sevastjanova
,
Valeria de Paiva
and
Richard Crouch
,
Mennatallah El-Assady
Keywords
Abstract
Paper
4:42
19/08/2021
Dynamic Proportional Rankings
Jonas Israel
,
Markus Brill
Keywords
Abstract
Paper
Agent-based and Multi-agent Systems
,
Computational Social Choice
,
Voting
13:45
08/12/2020
Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework
Akshay Bhola
,
Kishaloy Halder
,
Animesh Prasad
,
Min-Yen Kan
Keywords
Abstract
Paper
12:55
08/12/2020
Handling Anomalies of Synthetic Questions in Unsupervised Question Answering
Giwon Hong
,
Junmo Kang
,
Doyeon Lim
,
Sung-Hyon Myaeng
Keywords
Abstract
Paper
10:04
14/06/2020
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
Mohsen Fayyaz
,
Jürgen Gall
Keywords
Abstract
Paper
action segmentation
,
action recognition
,
weakly supervised
,
set
1:01
23/08/2020
Hierarchical attention propagation for healthcare representation learning
Muhan Zhang
,
Christopher R. King
,
Michael Avidan
,
Yixin Chen
Keywords
Abstract
Paper
network embedding
,
attention mechanism
,
medical ontology
9:53
19/04/2021
Self-training pre-trained language models for zero- and few-shot multi-dialectal Arabic sequence labeling
Muhammad Khalifa
,
Muhammad Abdul-Mageed
,
Khaled Shaalan
Keywords
Abstract
Paper
8:10
04/07/2020
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences
Xiangyu Duan
,
Baijun Ji
,
Hao Jia
and
Min Tan
,
Min Zhang
,
Boxing Chen
,
Weihua Luo
,
Yue Zhang
Keywords
Abstract
Paper
Bilingual Translation
,
machine MT
,
MT
,
dictionary-based translation
14:08
19/01/2020
Incorrectness Logic
Peter O'Hearn
Keywords
Abstract
Paper
none
23:18
25/04/2020
The Impact of Displaying Diversity Information on the Formation of Self-assembling Teams
Diego Gómez-Zará
,
Mengzi Guo
,
Leslie DeChurch
,
Noshir Contractor
Keywords
Abstract
Paper
diversity
,
teams
,
team formation
,
social recommenders
,
mixed-effect logistic regressions
13:44
18/07/2021
Equivariant message passing for the prediction of tensorial properties and molecular spectra
Kristof T Schütt
,
Oliver Unke
,
Michael Gastegger
Keywords
Abstract
Paper
Deep Learning
,
Architectures
5:11
08/12/2020
PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English
Michael Kranzlein
,
Emma Manning
,
Siyao Peng
and
Shira Wein
,
Aryaman Arora
,
Nathan Schneider
Keywords
Abstract
Paper
13:28
12/07/2020
Statistical Bias in Dataset Replication
Logan Engstrom
,
Andrew Ilyas
,
Shibani Santurkar
and
Dimitris Tsipras
,
Jacob Steinhardt
,
Aleksander Madry
Keywords
Abstract
Paper
Trustworthy Machine Learning
14:36
04/07/2020
ExpBERT: Representation Engineering with Natural Language Explanations
Shikhar Murty
,
Pang Wei Koh
,
Percy Liang
Keywords
Abstract
Paper
relation tasks
,
ExpBERT
,
Natural Explanations
,
explanation-guided representations
6:10
22/06/2020
Arikan meets shannon: Polar codes with near-optimal convergence to channel capacity
Venkatesan Guruswami
,
Andrii Riazanov
,
Min Ye
Keywords
Abstract
Paper
polar codes
,
capacity-achieving codes
,
information theory
25:49
03/05/2021
Net-DNF: Effective Deep Modeling of Tabular Data
Liran Katzir
,
Gal Elidan
,
Ran El-Yaniv
Keywords
Abstract
Paper
Neural Networks
,
Predictive Modeling
,
Tabular Data
,
Architectures
5:10
04/07/2020
Semantic Graphs for Generating Deep Questions
Liangming Pan
,
Yuxi Xie
,
Yansong Feng
and
Tat-Seng Chua
,
Min-Yen Kan
Keywords
Abstract
Paper
Generating Questions
,
Deep Generation
,
Deep DQG
,
reasoning
15:43
19/08/2021
Mean Field Games Flock! The Reinforcement Learning Way
Sarah Perrin
,
Mathieu Laurière
,
Julien Pérolat
and
Matthieu Geist
,
Romuald Élie
,
Olivier Pietquin
Keywords
Abstract
Paper
Agent-based and Multi-agent Systems
,
Multi-agent Learning
,
Noncooperative Games
,
Applications of Reinforcement Learning
15:06
09/07/2020
Kernel and Rich Regimes in Overparametrized Models
Blake E Woodworth
,
Suriya Gunasekar
,
Jason Lee
and
Edward Moroshko
,
Pedro Henrique Pamplona Savarese
,
Itay Golan
,
Daniel Soudry
,
Nathan Srebro
Keywords
Abstract
Paper
Neural networks/deep learning
,
13:29
14/06/2020
Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis
K R Prajwal
,
Rudrabha Mukhopadhyay
,
Vinay P. Namboodiri
,
C.V. Jawahar
Keywords
Abstract
Paper
lip to speech
,
lip reading
,
speech generation
,
talking face videos
,
lip2wav
,
sequence to sequence
,
multimodal learning
,
speech restoration
,
audio-visual understanding
,
face and speech
1:01
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