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21007
papertalks found
04/07/2020
Guiding Variational Response Generator to Exploit Persona
Bowen Wu
,
Mengyuan Li
,
Zongsheng Wang
and
Yifu Chen
,
Derek F. Wong
,
Qihang Feng
,
Junhong Huang
,
Baoxun Wang
Keywords
Abstract
Paper
conversational agents
,
optimization
,
persona-aware generation
,
Variational Generator
8:42
12/07/2020
Learning the piece-wise constant graph structure of a varying Ising model
Batiste Le Bars
,
Pierre Humbert
,
Argyris Kalogeratos
,
Nicolas Vayatis
Keywords
Abstract
Paper
Sequential
,
Network
,
and Time-Series Modeling
14:55
23/08/2020
DATE: Dual attentive tree-aware embedding for customs fraud detection
Sundong Kim
,
Yu-Che Tsai
,
Karandeep Singh
and
Yeonsoo Choi
,
Etim Ibok
,
Cheng-Te Li
,
Meeyoung Cha
Keywords
Abstract
Paper
e-government
,
tree-based embedding model
,
customs frauds detection
,
multi-task learning
19:56
05/12/2020
Neural RST-based evaluation of discourse coherence
Grigorii Guz
,
Peyman Bateni
,
Darius Muglich
,
Giuseppe Carenini
Keywords
Abstract
Paper
9:50
22/11/2021
Leveraging Geometry for Shape Estimation from a Single RGB Image
Florian Maximilian Langer
,
Ignas Budvytis
,
Roberto Cipolla
Keywords
Abstract
Paper
3D shape
,
CAD model
,
deformation
,
image-based retrieval
,
key points
,
geometry
3:02
13/04/2021
Optimal quantisation of probability measures using maximum mean discrepancy
Onur Teymur
,
Jackson Gorham
,
Marina Riabiz
,
Chris Oates
Keywords
Abstract
Paper
2:57
13/04/2021
Wyner-ziv estimators: Efficient distributed mean estimation with side-information
Prathamesh Mayekar
,
Ananda Theertha Suresh
,
Himanshu Tyagi
Keywords
Abstract
Paper
3:24
06/12/2021
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh
,
Siva Reddy
,
Will Hamilton
and
Chris Dyer
,
Dani Yogatama
Keywords
Abstract
Paper
14:42
19/08/2021
Keep Your Distance: Land Division With Separation
Edith Elkind
,
Erel Segal-Halevi
,
Warut Suksompong
Keywords
Abstract
Paper
Agent-based and Multi-agent Systems
,
Resource Allocation
,
Computational Social Choice
14:27
19/08/2021
Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts
Ben Batten
,
Panagiotis Kouvaros
,
Alessio Lomuscio
,
Yang Zheng
Keywords
Abstract
Paper
Machine Learning
,
Deep Learning
,
Explainable/Interpretable Machine Learning
,
Validation and Verification
15:03
06/12/2021
Generic Neural Architecture Search via Regression
Yuhong Li
,
Cong Hao
,
Pan Li
and
Jinjun Xiong
,
Deming Chen
Keywords
Abstract
Paper
deep learning
,
machine learning
,
self-supervised learning
,
vision
,
language
14:56
14/06/2020
RevealNet: Seeing Behind Objects in RGB-D Scans
Ji Hou
,
Angela Dai
,
Matthias Nießner
Keywords
Abstract
Paper
instance completion
,
shape completion
,
instance segmentation
,
3d scene understanding
,
rgb-d
,
multi-view geometry
,
segmentation
1:01
16/11/2020
What do Models Learn from Question Answering Datasets?
Priyanka Sen
,
Amir Saffari
Keywords
Abstract
Paper
question answering
,
reading comprehension
,
bert-based models
,
question variations
11:41
18/07/2021
On Robust Mean Estimation under Coordinate-level Corruption
Zifan Liu
,
Jongho Park
,
Theo Rekatsinas
,
Christos Tzamos
Keywords
Abstract
Paper
Theory
,
Computational Learning Theory
5:18
04/08/2021
Optimizing Optimizers: Regret-optimal gradient descent algorithms
Philippe Casgrain
,
Anastasis Kratsios
Keywords
Abstract
Paper
16:55
22/11/2021
Deep Knowledge Distillation using Trainable Dense Attention
Bharat Sau
,
Soumya Roy
,
Vinay P Namboodiri
,
Raghu Sesha Iyengar
Keywords
Abstract
Paper
Knowledge Distillation
,
Network Compression
,
Visual Attention
3:04
12/07/2020
Aligned Cross Entropy for Non-Autoregressive Machine Translation
Marjan Ghazvininejad
,
Vladimir Karpukhin
,
Luke Zettlemoyer
,
Omer Levy
Keywords
Abstract
Paper
Applications - Language
,
Speech and Dialog
14:43
12/07/2020
Low-Rank Bottleneck in Multi-head Attention Models
Srinadh Bhojanapalli
,
Chulhee Yun
,
Ankit Singh Rawat
and
Sashank Jakkam Reddi
,
Sanjiv Kumar
Keywords
Abstract
Paper
Deep Learning - Theory
14:01
12/07/2020
Neural Architecture Search in a Proxy Validation Loss Landscape
Yanxi Li
,
Minjing Dong
,
Yunhe Wang
,
Chang Xu
Keywords
Abstract
Paper
Deep Learning - General
9:07
13/04/2021
Consistent k-median: Simpler, better and robust
Xiangyu Guo
,
Janardhan Kulkarni
,
Shi Li
,
Jiayi Xian
Keywords
Abstract
Paper
3:15
07/09/2020
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identification
Yushi Lan
,
Yuan Liu
,
Xinchi Zhou
and
Tian Maoqing
,
Xuesen Zhang
,
Shuai Yi
,
Hongsheng Li
Keywords
Abstract
Paper
person re-identification
,
adversarial samples
,
metric learning
,
multi-task learning
,
image retrieval
5:58
14/06/2020
A Morphable Face Albedo Model
William A. P. Smith
,
Alassane Seck
,
Hannah Dee
and
Bernard Tiddeman
,
Joshua B. Tenenbaum
,
Bernhard Egger
Keywords
Abstract
Paper
3d morphable model
,
albedo
,
reflectance
,
light stage
,
face scanning
,
inverse graphics
,
generative models
,
computer graphics
,
statistical modelling
,
analysis-by-synthesis
4:56
05/01/2021
Analyzing Deep Neural Network's Transferability via Frechet Distance
Yifan Ding
,
Liqiang Wang
,
Boqing Gong
Keywords
Abstract
Paper
4:59
03/05/2021
Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla
,
Benjamin M Marlin
Keywords
Abstract
Paper
missing data
,
attention
,
multivariate time series
,
irregular sampling
6:19
06/12/2021
Gauge Equivariant Transformer
Lingshen He
,
Yiming Dong
,
Yisen Wang
and
Dacheng Tao
,
Zhouchen Lin
Keywords
Abstract
Paper
deep learning
,
transformers
14:55
18/07/2021
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance
Xiaoyu Li
,
Zhenxun Zhuang
,
Francesco Orabona
Keywords
Abstract
Paper
Optimization
,
Non-Convex Optimization
5:07
04/07/2020
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
Alexander Fabbri
,
Patrick Ng
,
Zhiguo Wang
and
Ramesh Nallapati
,
Bing Xiang
Keywords
Abstract
Paper
Template-Based Generation
,
Unsupervised Answering
,
Question Answering
,
QA
7:04
06/12/2021
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
YU LI
,
Min LI
,
Qiuxia LAI
and
Yannan Liu
,
Qiang Xu
Keywords
Abstract
Paper
deep learning
,
machine learning
,
vision
,
graph learning
,
semi-supervised learning
13:21
08/12/2020
Do Word Embeddings Capture Spelling Variation?
Dong Nguyen
,
Jack Grieve
Keywords
Abstract
Paper
10:47
01/07/2020
On Incorporating Structural Information to improve Dialogue Response Generation
Nikita Moghe
,
Priyesh Vijayan
,
Balaraman Ravindran
,
Mitesh M. Khapra
Keywords
Abstract
Paper
13:00
02/02/2021
An Efficient Transformer Decoder with Compressed Sub-layers
Yanyang Li
,
Ye Lin
,
Tong Xiao
,
Jingbo Zhu
Keywords
Abstract
Paper
19:56
14/06/2020
Background Matting: The World Is Your Green Screen
Soumyadip Sengupta
,
Vivek Jayaram
,
Brian Curless
and
Steven M. Seitz
,
Ira Kemelmacher-Shlizerman
Keywords
Abstract
Paper
alpha matting
,
background removal
,
green screen
,
compositing
,
computational photography
,
deep learning
,
gan
1:00
06/12/2021
Across-animal odor decoding by probabilistic manifold alignment
Pedro Herrero-Vidal
,
Dmitry Rinberg
,
Cristina Savin
Keywords
Abstract
Paper
robustness
,
neuroscience
12:25
12/07/2020
Online Bayesian Moment Matching based SAT Solver Heuristics
Haonan Duan
,
Saeed Nejati
,
George Trimponias
and
Pascal Poupart
,
Vijay Ganesh
Keywords
Abstract
Paper
Probabilistic Inference - Models and Probabilistic Programming
15:27
16/11/2020
Interactive Imitation Learning in State-Space
Snehal Jauhri
,
Carlos Celemin
,
Jens Kober
Keywords
Abstract
Paper
5:05
06/12/2020
Instance Based Approximations to Profile Maximum Likelihood
Nima Anari
,
Moses Charikar
,
Kiran Shiragur
,
Aaron Sidford
Keywords
Abstract
Paper
3:12
02/02/2021
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis
Zi Wang
Keywords
Abstract
Paper
14:19
06/12/2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Fan-Keng Sun
,
Chris Lang
,
Duane Boning
Keywords
Abstract
Paper
deep learning
12:16
06/12/2020
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective
Kaixuan Huang
,
Yuqing Wang
,
Molei Tao
,
Tuo Zhao
Keywords
Abstract
Paper
Algorithms -> Uncertainty Estimation; Theory -> Frequentist Statistics; Theory -> Large Deviations and Asymptotic Analysis; The
,
Algorithms -> Kernel Methods
2:59
14/09/2020
SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer
Javier Fernández
,
Luke Bornn
Keywords
Abstract
Paper
soccer analytics
,
spatio-temporal statistics
,
representation learning
,
fully convolutional neural networks
,
deep learning
,
interpretable machine learning
15:07
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