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21007
papertalks found
06/12/2020
Structured Convolutions for Efficient Neural Network Design
Yash Bhalgat
,
Yizhe Zhang
,
Jamie Menjay Lin
,
Fatih Porikli
Keywords
Abstract
Paper
3:20
01/07/2020
BIT’s system for the AutoSimTrans 2020
Minqin Li
,
Haodong Cheng
,
Yuanjie Wang
and
Sijia Zhang
,
Liting Wu
,
Yuhang Guo
Keywords
Abstract
Paper
9:19
26/08/2020
LdSM: Logarithm-depth Streaming Multi-label Decision Trees
Maryam Majzoubi
,
Anna Choromanska
Keywords
Abstract
Paper
13:53
06/12/2021
Adversarial Reweighting for Partial Domain Adaptation
Xiang Gu
,
Xi Yu
,
yan yang
and
Jian Sun
,
Zongben Xu
Keywords
Abstract
Paper
domain adaptation
9:03
04/07/2020
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation
Liting Liu
,
Jie Liu
,
Wenzheng Zhang
and
Ziming Chi
,
Wenxuan Shi
,
Yalou Huang
Keywords
Abstract
Paper
Job Generation
,
recruiting process
,
conditional problem
,
Skill-Aware Model
9:19
02/02/2021
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
Chenxin Xu
,
Siheng Chen
,
Maosen Li
,
Ya Zhang
Keywords
Abstract
Paper
14:35
14/06/2020
Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS
Long Chen
,
Haizhou Ai
,
Rui Chen
and
Zijie Zhuang
,
Shuang Liu
Keywords
Abstract
Paper
3d pose estimation
,
multi-view
,
multi-human
,
cross-view tracking
,
triangulation
1:01
03/08/2020
Multitask Soft Option Learning
Maximilian Igl
,
Andrew Gambardella
,
Jinke He
and
Nantas Nardelli
,
N Siddharth
,
Wendelin Boehmer
,
Shimon Whiteson
Keywords
Abstract
Paper
7:57
17/08/2020
Computational design of skintight clothing
Juan Montes
,
Bernhard Thomaszewski
,
Sudhir Mudur
,
Tiberiu Popa
Keywords
Abstract
Paper
computational design
,
seam design
,
pattern optimization
,
physically-based modelling
14:24
19/10/2020
Muse: Multi-query event trend aggregation
Allison Rozet
,
Olga Poppe
,
Chuan Lei
,
Elke A. Rundensteiner
Keywords
Abstract
Paper
multi-query optimization
,
incremental aggregation
,
event trend
,
complex event processing
6:38
30/11/2020
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model
Honglei Zhang
,
Francesco Cricri
,
Hamed R. Tavakoli
and
Nannan Zou
,
Emre Aksu
,
Miska M. Hannuksela
Keywords
Abstract
Paper
9:33
22/06/2020
Dynamic algorithms for LIS and distance to monotonicity
Michael Mitzenmacher
,
Saeed Seddighin
Keywords
Abstract
Paper
dynamic
,
sublinear
,
distance to monotonicity
,
LIS
23:47
03/05/2021
UMEC: Unified model and embedding compression for efficient recommendation systems
Jiayi Shen
,
Haotao Wang
,
Shupeng Gui
and
Jianchao Tan
,
Zhangyang Wang
,
Ji Liu
Keywords
Abstract
Paper
recommendation system
,
resource constrained
,
ADMM
,
model compression
5:06
03/08/2020
Fair Contextual Multi-Armed Bandits: Theory and Experiments
Yifang Chen
,
Alex Cuellar
,
Haipeng Luo
and
Jignesh Modi
,
Heramb Nemlekar
,
Stefanos Nikolaidis
Keywords
Abstract
Paper
8:16
06/12/2021
Nearly Horizon-Free Offline Reinforcement Learning
Tongzheng Ren
,
Jialian Li
,
Bo Dai
and
Simon Du
,
Sujay Sanghavi
Keywords
Abstract
Paper
theory
,
optimization
,
reinforcement learning and planning
8:44
06/12/2020
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist
Chaochao Yan
,
Qianggang Ding
,
Peilin Zhao
and
Shuangjia Zheng
,
JINYU YANG
,
Yang Yu
,
Junzhou Huang
Keywords
Abstract
Paper
3:10
08/12/2020
Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations
Bin Ji
,
Jie Yu
,
Shasha Li
and
Jun Ma
,
Qingbo Wu
,
Yusong Tan
,
Huijun Liu
Keywords
Abstract
Paper
10:13
25/07/2020
Pairwise view weighted graph network for view-based 3D model retrieval
Zan Gao
,
Yin-ming Li
,
Wei-li Guan
and
Wei-zhi Nie
,
Zhi-yong Cheng
,
An-an Liu
Keywords
Abstract
Paper
non-local graph network
,
pairwise network architecture
,
view weighted layer
,
view-based 3D model retrieval
10:43
30/11/2020
Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks
Christoph Raab
,
Philipp Väth
,
Peter Meier
,
Frank-Michael Schleif
Keywords
Abstract
Paper
10:07
06/12/2021
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
Federico López
,
Beatrice Pozzetti
,
Steve Trettel
and
Michael Strube
,
Anna Wienhard
Keywords
Abstract
Paper
deep learning
,
optimization
,
graph learning
11:39
25/04/2020
CollabAR Investigating the Mediating Role of Mobile AR Interfaces on Co-Located Group Collaboration
Thomas Wells
,
Steven Houben
Keywords
Abstract
Paper
mobile augmented reality
,
co-located collaboration
12:30
06/12/2021
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Hyeonjin Park
,
Seunghun Lee
,
Sihyeon Kim
and
Jinyoung Park
,
Jisu Jeong
,
Kyung-Min Kim
,
Jung-Woo Ha (NAVER AI Lab)
,
Hyunwoo J Kim
Keywords
Abstract
Paper
deep learning
,
graph learning
,
semi-supervised learning
14:18
15/06/2020
Promising 2.0: Global optimizations in relaxed memory concurrency
Sung-Hwan Lee
,
Minki Cho
,
Anton Podkopaev
and
Soham Chakraborty
,
Chung-Kil Hur
,
Ori Lahav
,
Viktor Vafeiadis
Keywords
Abstract
Paper
Relaxed Memory Concurrency
,
Operational Semantics
,
Compiler Optimizations
16:59
06/12/2021
Online false discovery rate control for anomaly detection in time series
Quentin Rebjock
,
Baris Kurt
,
Tim Januschowski
,
Laurent Callot
Keywords
Abstract
Paper
theory
,
machine learning
14:55
13/04/2021
Kernel interpolation for scalable online gaussian processes
Samuel Stanton
,
Wesley Maddox
,
Ian Delbridge
,
Andrew Gordon Wilson
Keywords
Abstract
Paper
2:36
14/06/2020
Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises
Bin Yan
,
Dong Wang
,
Huchuan Lu
,
Xiaoyun Yang
Keywords
Abstract
Paper
cooling-shrinking attack
,
object tracking
,
adversarial attack
,
adversarial noise
,
siamrpn++
,
cooling-shrinking loss
,
perturbation generator
,
cooling loss
,
shrinking loss
,
transferability
1:01
12/07/2020
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
Di Wang
,
Hanshen Xiao
,
Srinivas Devadas
,
Jinhui Xu
Keywords
Abstract
Paper
Privacy-preserving Statistics and Machine Learning
15:52
18/07/2021
Leveraging Good Representations in Linear Contextual Bandits
Matteo Papini
,
Andrea Tirinzoni
,
Marcello Restelli
and
Alessandro Lazaric
,
Matteo Pirotta
Keywords
Abstract
Paper
Reinforcement Learning and Planning
,
Bandits
5:08
06/12/2021
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components
Nate Veldt
,
Austin Benson
,
Jon Kleinberg
Keywords
Abstract
Paper
machine learning
,
graph learning
,
clustering
15:08
13/04/2021
On the importance of hyperparameter optimization for model-based reinforcement learning
Baohe Zhang
,
Raghu Rajan
,
Luis Pineda
and
Nathan Lambert
,
André Biedenkapp
,
Kurtland Chua
,
Frank Hutter
,
Roberto Calandra
Keywords
Abstract
Paper
2:59
09/07/2020
Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without
Sebastien Bubeck
,
Yuanzhi Li
,
Yuval Peres
,
Mark Sellke
Keywords
Abstract
Paper
Bandit problems
,
10:13
06/12/2021
Concentration inequalities under sub-Gaussian and sub-exponential conditions
Andreas Maurer
,
Massimiliano Pontil
Keywords
Abstract
Paper
theory
5:48
16/11/2020
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
Hai Nguyen
,
Brett Daley
,
Xinchao Song
and
Christopher Amato
,
Robert Platt
Keywords
Abstract
Paper
5:05
14/06/2020
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection
Zhouxia Wang
,
Jiawei Zhang
,
Mude Lin
and
Jiong Wang
,
Ping Luo
,
Jimmy Ren
Keywords
Abstract
Paper
exposure bracketing selection
,
exposure fusion
,
reinforcement learning
,
semantic information
1:01
14/06/2020
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
Jiankang Deng
,
Jia Guo
,
Evangelos Ververas
and
Irene Kotsia
,
Stefanos Zafeiriou
Keywords
Abstract
Paper
face detection
,
face alignment
,
face reconstruction
,
pose estimation
,
face parsing
1:01
06/12/2020
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu
,
Yujun Yan
,
Lingxiao Zhao
and
Mark Heimann
,
Leman Akoglu
,
Danai Koutra
Keywords
Abstract
Paper
3:20
04/07/2020
Investigating Word-Class Distributions in Word Vector Spaces
Ryohei Sasano
,
Anna Korhonen
Keywords
Abstract
Paper
modeling distribution
,
centroid-based model
,
discriminative models
,
Word-Class Distributions
11:53
06/12/2020
Blind Video Temporal Consistency via Deep Video Prior
Chenyang Lei
,
Yazhou Xing
,
Qifeng Chen
Keywords
Abstract
Paper
3:05
04/07/2020
Compositional Generalization by Factorizing Alignment and Translation
Jacob Russin
,
Jason Jo
,
Randall O'Reilly
,
Yoshua Bengio
Keywords
Abstract
Paper
Compositional Generalization
,
Translation
,
natural processing
,
cognitive science
10:37
04/07/2020
Improving Truthfulness of Headline Generation
Kazuki Matsumaru
,
Sho Takase
,
Naoaki Okazaki
Keywords
Abstract
Paper
Truthfulness Generation
,
abstractive summarization
,
headline generation
,
automatic headlines
11:21
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