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05/01/2022
DDDM: a Brain-Inspired Framework for Robust Classification
Despite their outstanding performance in a broad spectrum of real-world ...
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04/30/2022
SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities
As deep learning advances, there is an ever-growing demand for models ca...
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03/31/2022
Data Sampling Affects the Complexity of Online SGD over Dependent Data
Conventional machine learning applications typically assume that data sa...
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03/21/2022
Delving into the Estimation Shift of Batch Normalization in a Network
Batch normalization (BN) is a milestone technique in deep learning. It n...
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03/14/2022
Sense Embeddings are also Biased–Evaluating Social Biases in Static and Contextualised Sense Embeddings
Sense embedding learning methods learn different embeddings for the diff...
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02/24/2022
A Partition-and-Merge Algorithm for Solving the Steiner Tree Problem in Large Graphs
The Steiner tree problem, which asks for a minimum weighted tree spannin...
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02/17/2022
Desingularization and p-Curvature of Recurrence Operators
Linear recurrence operators in characteristic p are classified by their ...
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02/17/2022
Listing Maximal k-Plexes in Large Real-World Graphs
Listing dense subgraphs in large graphs plays a key task in varieties of...
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02/16/2022
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm Analysis
We address the relatively unexplored problem of hyper-parameter optimiza...
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02/08/2022
On the Convergence of Gradient Extrapolation Methods for Unbalanced Optimal Transport
We study the Unbalanced Optimal Transport (UOT) between two measures of ...
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12/22/2021
Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning
Alternating gradient-descent-ascent (AltGDA) is an optimization algorith...
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12/16/2021
Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation
Video Panoptic Segmentation (VPS) aims at assigning a class label to eac...
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12/15/2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
We address the relatively unexplored problem of hyper-parameter optimiza...
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11/21/2021
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
Despite its great success, deep learning severely suffers from robustnes...
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11/05/2021
Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting
Among prerequisites for a synthetic agent to interact with dynamic scene...
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10/14/2021
Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent
The gradient descent-ascent (GDA) algorithm has been widely applied to s...
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10/05/2021
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy
Contextualised word embeddings generated from Neural Language Models (NL...
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09/23/2021
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21
This paper describes the Volctrans' submission to the WMT21 news transla...
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09/20/2021
Assisted Learning for Organizations with Limited Data
We develop an assisted learning framework for assisting organization-lev...
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09/08/2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Actor-critic (AC) algorithms have been widely adopted in decentralized m...
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08/18/2021
Stochastic Scene-Aware Motion Prediction
A long-standing goal in computer vision is to capture, model, and realis...
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08/18/2021
Specificity-preserving RGB-D Saliency Detection
RGB-D saliency detection has attracted increasing attention, due to its ...
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07/26/2021
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning
Federated learning has arisen as a mechanism to allow multiple participa...
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06/17/2021
using multiple losses for accurate facial age estimation
Age estimation is an essential challenge in computer vision. With the ad...
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06/16/2021
Improving Entity Linking through Semantic Reinforced Entity Embeddings
Entity embeddings, which represent different aspects of each entity with...
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06/08/2021
A likelihood based sensitivity analysis for publication bias on summary ROC in meta-analysis of diagnostic test accuracy
In meta-analysis of diagnostic test accuracy, summary receiver operating...
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04/07/2021
Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation
Temporal-difference learning with gradient correction (TDC) is a two tim...
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03/30/2021
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
Greedy-GQ is a value-based reinforcement learning (RL) algorithm for opt...
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03/24/2021
Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity
The finite-time convergence of off-policy TD learning has been comprehen...
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03/05/2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Federated learning (FL) has been proposed to allow collaborative trainin...
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03/01/2021
A Deep Emulator for Secondary Motion of 3D Characters
Fast and light-weight methods for animating 3D characters are desirable ...
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02/26/2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
Chest X-rays are an important and accessible clinical imaging tool for t...
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02/09/2021
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
The gradient descent-ascent (GDA) algorithm has been widely applied to s...
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02/01/2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
Data heterogeneity has been identified as one of the key features in fed...
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12/17/2020
Enhancing Balanced Graph Edge Partition with Effective Local Search
Graph partition is a key component to achieve workload balance and reduc...
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12/16/2020
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts
Identifying independently moving objects is an essential task for dynami...
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12/15/2020
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment
The present paper reviews the classical problem of free-form curve regis...
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12/11/2020
Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning
Federated Learning (FL) is an approach to collaboratively train a model ...
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12/09/2020
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
Acquiring sufficient ground-truth supervision to train deep visual model...
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12/04/2020
Mitigating Bias in Federated Learning
As methods to create discrimination-aware models develop, they focus on ...
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11/25/2020
Multimodal Learning for Hateful Memes Detection
Memes are multimedia documents containing images and phrases that usuall...
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11/17/2020
Contrastive Weight Regularization for Large Minibatch SGD
The minibatch stochastic gradient descent method (SGD) is widely applied...
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11/17/2020
Generating universal language adversarial examples by understanding and enhancing the transferability across neural models
Deep neural network models are vulnerable to adversarial attacks. In man...
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11/13/2020
Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study
Modern deep neural network (DNN) trainings utilize various training tech...
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10/26/2020
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis
Variance reduction techniques have been successfully applied to temporal...
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10/14/2020
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback
Zeroth-order optimization (ZO) typically relies on two-point feedback to...
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10/03/2020
Unsupervised Cross-lingual Image Captioning
Most recent image captioning works are conducted in English as the major...
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09/30/2020
Transfer Learning from Speech Synthesis to Voice Conversion with Non-Parallel Training Data
This paper presents a novel framework to build a voice conversion (VC) s...
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09/27/2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Normalization techniques are essential for accelerating the training and...
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09/12/2020
