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21007
papertalks found
14/06/2020
Polishing Decision-Based Adversarial Noise With a Customized Sampling
Yucheng Shi
,
Yahong Han
,
Qi Tian
Keywords
Abstract
Paper
adversarial machine learning
,
adversarial example
,
decision-based attack
1:01
06/12/2020
On Adaptive Attacks to Adversarial Example Defenses
Florian Tramer
,
Nicholas Carlini
,
Wieland Brendel
,
Aleksander Madry
Keywords
Abstract
Paper
3:24
26/04/2020
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
,
Jordan Hoffman
,
Vikas Verma
,
Jian Tang
Keywords
Abstract
Paper
graph-level representation learning
,
mutual information maximization
5:06
14/06/2020
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
,
Andrei Bursuc
,
Nikos Komodakis
and
Patrick Pérez
,
Matthieu Cord
Keywords
Abstract
Paper
representation learning
,
self-supervised learning
,
unsupervised learning
,
discrete representations
,
bag of visual words
,
image understanding
,
deep learning
,
convolutional neural networks
1:01
26/04/2020
Accelerating SGD with momentum for over-parameterized learning
Chaoyue Liu
,
Mikhail Belkin
Keywords
Abstract
Paper
SGD
,
acceleration
,
momentum
,
stochastic
,
over-parameterized
,
Nesterov
4:50
18/07/2021
SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
Lingxiao YANG
,
Ru-Yuan Zhang
,
Lida LI
,
Xiaohua Xie
Keywords
Abstract
Paper
,
Deep Learning
,
Optimization for Deep Networks
,
Applications
,
Neuroscience and Cognitive Science
4:46
06/12/2020
Calibrating CNNs for Lifelong Learning
Pravendra Singh
,
Vinay Kumar Verma
,
Pratik Mazumder
and
Lawrence Carin
,
Piyush Rai
Keywords
Abstract
Paper
3:13
06/12/2021
Adaptive Proximal Gradient Methods for Structured Neural Networks
Jihun Yun
,
Aurelie Lozano
,
Eunho Yang
Keywords
Abstract
Paper
deep learning
,
optimization
,
machine learning
10:46
08/12/2020
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models
Meiqi Guo
,
Rebecca Hwa
,
Yu-Ru Lin
,
Wen-Ting Chung
Keywords
Abstract
Paper
14:20
08/12/2020
What Meaning-Form Correlation Has to Compose With: A Study of MFC on Artificial and Natural Language
Timothee Mickus
,
Timothée Bernard
,
Denis Paperno
Keywords
Abstract
Paper
16:01
07/09/2020
Revisiting Temporal Modeling for Video Super-resolution
Takashi Isobe
,
Fang Zhu
,
Shengjin Wang
Keywords
Abstract
Paper
Video Super-Resolution
,
Recurrent Neural Network
,
Temporal Modeling
5:56
06/12/2020
Generalized Leverage Score Sampling for Neural Networks
Jason Lee
,
Ruoqi Shen
,
Zhao Song
and
Mengdi Wang
,
zheng Yu
Keywords
Abstract
Paper
2:19
06/12/2021
Algorithmic stability and generalization of an unsupervised feature selection algorithm
xinxing wu
,
Qiang Cheng
Keywords
Abstract
Paper
deep learning
12:41
19/10/2020
MAEC: A multimodal aligned earnings conference call dataset for financial risk prediction
Jiazheng Li
,
Linyi Yang
,
Barry Smyth
,
Ruihai Dong
Keywords
Abstract
Paper
earnings conference calls
,
multimodal aligned datasets
,
financial risk prediction
10:24
12/07/2020
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
Ioana Bica
,
Ahmed Alaa
,
Mihaela van der Schaar
Keywords
Abstract
Paper
Applications - Neuroscience
,
Cognitive Science
,
Biology and Health
15:00
06/12/2021
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision
Mihai Fieraru
,
Mihai Zanfir
,
Teodor Szente
and
Eduard Bazavan
,
Vlad Olaru
,
Cristian Sminchisescu
Keywords
Abstract
Paper
transformers
7:26
11/10/2020
POP909: a Pop-song Dataset for Music Arrangement Generation
Ziyu Wang
,
Ke Chen
,
Junyan Jiang
and
Yiyi Zhang
,
Maoran Xu
,
Shuqi Dai
,
Gus Xia
Keywords
Abstract
Paper
Evaluation
,
datasets
,
and reproducibility
,
Novel datasets and use cases
,
Applications
,
Music composition
,
performance
,
and production
,
Domain knowledge
,
Machine learning/Artificial intelligence for music
,
MIR tasks
,
Music transcription and annotation
,
Musical features and properties
,
Musical style and genre
4:08
03/05/2021
Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini
,
Mohammad Yaghini
,
Nicolas Papernot
Keywords
Abstract
Paper
MLaaS
,
model extraction
,
model ownership
14:17
22/11/2021
Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation
Kohei Yamamichi
,
Xian-Hua Han
Keywords
Abstract
Paper
Deraining
,
Rain removal
,
Deep residual block
,
Multi-scale residual aggregation network
,
Spatial context-aware activation
,
Spatial context-aware pooling
,
multi-scale context aggregation module
1:33
06/12/2021
Refining Language Models with Compositional Explanations
Huihan Yao
,
Ying Chen
,
Qinyuan Ye
and
Xisen Jin
,
Xiang Ren
Keywords
Abstract
Paper
machine learning
,
fairness
,
language
13:17
02/02/2021
Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition
Chongyang Ding
,
Kai Liu
,
Jari Korhonen
,
Evgeny Belyaev
Keywords
Abstract
Paper
14:20
06/12/2021
Impression learning: Online representation learning with synaptic plasticity
Colin Bredenberg
,
Benjamin Lyo
,
Eero P Simoncelli
,
Cristina Savin
Keywords
Abstract
Paper
neuroscience
,
representation learning
14:11
02/02/2021
Inverse Reinforcement Learning From Like-Minded Teachers
Ritesh Noothigattu
,
Tom Yan
,
Ariel D. Procaccia
Keywords
Abstract
Paper
14:43
16/11/2020
Adversarial Semantic Collisions
Congzheng Song
,
Alexander Rush
,
Vitaly Shmatikov
Keywords
Abstract
Paper
paraphrase identification
,
document retrieval
,
response suggestion
,
extractive summarizationtextemdash
11:25
18/07/2021
Projection Robust Wasserstein Barycenters
Minhui Huang
,
Shiqian Ma
,
Lifeng Lai
Keywords
Abstract
Paper
Algorithms
,
Optimal Transport
5:18
26/04/2020
Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks
Ziwei Ji
,
Matus Telgarsky
Keywords
Abstract
Paper
neural tangent kernel
,
polylogarithmic width
,
test error
,
gradient descent
,
classification
5:04
19/08/2021
On Sampled Metrics for Item Recommendation (Extended Abstract)
Walid Krichene
,
Steffen Rendle
Keywords
Abstract
Paper
Machine Learning
,
Recommender Systems
15:39
12/09/2020
Treewidth-aware Reductions of Normal ASP to SAT - Is Normal ASP Harder than SAT after All?
Markus Hecher
Keywords
Abstract
Paper
Computational aspects of knowledge representation-General
,
Logic programming
,
answer set programming
,
constraint logic programming-General
,
Nonmonotonic logics
,
default logics
,
conditional logics-General
15:04
08/07/2020
Invariants for Continuous Linear Dynamical Systems
Shaull Almagor
,
Edon Kelmendi
,
Joël Ouaknine and James Worrell
Keywords
Abstract
Paper
Invariants
,
continuous linear dynamical systems
,
continuous Skolem problem
,
safety
,
o-minimality
15:50
03/05/2021
Balancing Constraints and Rewards with Meta-Gradient D4PG
Dan A. Calian
,
Daniel J Mankowitz
,
Tom Zahavy
and
Zhongwen Xu
,
Junhyuk Oh
,
Nir Levine
,
Timothy A Mann
Keywords
Abstract
Paper
reinforcement learning
,
constraints
,
meta-gradients
5:02
12/07/2020
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang
,
Arash Pakbin
,
Bobak Mortazavi
and
Hongyu Zhao
,
Donald Lee
Keywords
Abstract
Paper
Applications - Neuroscience
,
Cognitive Science
,
Biology and Health
14:29
22/11/2021
Paying Attention to Varying Receptive Fields: Object Detection with Atrous Filters and Vision Transformers
Arthur Jian Shun Lam
,
Jun Yi Lim
,
Ricky Sutopo
,
Vishnu Monn Baskaran
Keywords
Abstract
Paper
object detection
,
atrous convolution
,
vision transformers
,
attention mechanism
3:01
04/07/2020
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
Emily M. Bender
,
Alexander Koller
Keywords
Abstract
Paper
NLP tasks
,
natural understanding
,
large models
,
NLU
12:35
04/07/2020
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition
Paloma Jeretic
,
Alex Warstadt
,
Suvrat Bhooshan
,
Adina Williams
Keywords
Abstract
Paper
Natural inference
,
NLI
,
natural understanding
,
pragmatic inferences
13:17
14/06/2020
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
Qibin Hou
,
Li Zhang
,
Ming-Ming Cheng
,
Jiashi Feng
Keywords
Abstract
Paper
scene parsing
,
semantic segmentation
,
spatial pooling
,
strip pooling
,
context aggregation
1:02
04/07/2020
Politeness Transfer: A Tag and Generate Approach
Aman Madaan
,
Amrith Setlur
,
Tanmay Parekh
and
Barnabas Poczos
,
Graham Neubig
,
Yiming Yang
,
Ruslan Salakhutdinov
,
Alan W Black
,
Shrimai Prabhumoye
Keywords
Abstract
Paper
Politeness Transfer
,
politeness
,
transfer tasks
,
content preservation
11:21
25/04/2020
Investigating User-Created Gamification in an Image Tagging Task
Marc Schubhan
,
Maximilian Altmeyer
,
Dominic Buchheit
,
Pascal Lessel
Keywords
Abstract
Paper
customization
,
user-driven game design
,
bottom-up
,
motivation
,
replication
13:23
14/06/2020
Telling Left From Right: Learning Spatial Correspondence of Sight and Sound
Karren Yang
,
Bryan Russell
,
Justin Salamon
Keywords
Abstract
Paper
audio-visual learning in video
,
self-supervision
,
video dataset
,
spatial audio
,
localization
,
spatialization
,
upmixing
,
source separation
4:41
14/07/2020
Deterministic leader election in anonymous radio networks
Avery Miller
,
Andrzej Pelc
,
Ram Narayan Yadav
Keywords
Abstract
Paper
anonymous radio network
,
algorithm
,
leader election
,
graph
24:38
06/12/2020
A Unified View of Label Shift Estimation
Saurabh Garg
,
Yifan Wu
,
Sivaraman Balakrishnan
,
Zachary Lipton
Keywords
Abstract
Paper
3:18
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