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Towards Automatic Detection of Misinformation in Online Medical Videos
Recent years have witnessed a significant increase in the online sharing...
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Attacking Vision-based Perception in End-to-End Autonomous Driving Models
Recent advances in machine learning, especially techniques such as deep ...
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Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances
Emotion is intrinsic to humans and consequently emotion understanding is...
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Deep Learning for Automatic Pneumonia Detection
Pneumonia is the leading cause of death among young children and one of ...
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AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving
Decision making in automated driving is highly specific to the environme...
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OASIS: A Large-Scale Dataset for Single Image 3D in the Wild
Single-view 3D is the task of recovering 3D properties such as depth and...
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What Can Learned Intrinsic Rewards Capture?
Reinforcement learning agents can include different components, such as ...
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Monocular Depth Prediction Through Continuous 3D Loss
This paper reports a new continuous 3D loss function for learning depth ...
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Shadow Transfer: Single Image Relighting For Urban Road Scenes
Illumination effects in images, specifically cast shadows and shading, h...
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On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Model-agnostic meta-learning (MAML) has emerged as one of the most succe...
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Unified Vision-Language Pre-Training for Image Captioning and VQA
This paper presents a unified Vision-Language Pre-training (VLP) model. ...
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Near-optimal Oracle-efficient Algorithms for Stationary and Non-Stationary Stochastic Linear Bandits
We investigate the design of two algorithms that enjoy not only computat...
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How Should an Agent Practice?
We present a method for learning intrinsic reward functions to drive the...
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Project and Forget: Solving Large-Scale Metric Constrained Problems
Given a set of dissimilarity measurements amongst data points, determini...
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Eliminating artefacts in Polarimetric Images using Deep Learning
Polarization measurements done using Imaging Polarimeters such as the Ro...
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Scaling-up Distributed Processing of Data Streams for Machine Learning
Emerging applications of machine learning in numerous areas involve cont...
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VirTex: Learning Visual Representations from Textual Annotations
The de-facto approach to many vision tasks is to start from pretrained v...
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Automating Artifact Detection in Video Games
In spite of advances in gaming hardware and software, gameplay is often ...
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Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Recent advances in machine learning, especially techniques such as deep ...
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HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
We introduce Hyper-Conditioned Neural Autoregressive Flow (HCNAF); a pow...
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What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization
Knowledge graphs (KGs) store highly heterogeneous information about the ...
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G-CREWE: Graph CompREssion With Embedding for Network Alignment
Network alignment is useful for multiple applications that require incre...
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Efficient Adversarial Training with Transferable Adversarial Examples
Adversarial training is an effective defense method to protect classific...
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On Learnability under General Stochastic Processes
Statistical learning theory under independent and identically distribute...
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Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving
In Autonomous Vehicles (AVs), one fundamental pillar is perception, whic...
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BRPO: Batch Residual Policy Optimization
In batch reinforcement learning (RL), one often constrains a learned pol...
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Sparsity-promoting algorithms for the discovery of informative Koopman invariant subspaces
Koopman decomposition is a non-linear generalization of eigen decomposit...
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Novel Object Viewpoint Estimation through Reconstruction Alignment
The goal of this paper is to estimate the viewpoint for a novel object. ...
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Rethinking Numerical Representations for Deep Neural Networks
With ever-increasing computational demand for deep learning, it is criti...
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D3D: Distilled 3D Networks for Video Action Recognition
State-of-the-art methods for video action recognition commonly use an en...
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Face-to-Parameter Translation for Game Character Auto-Creation
Character customization system is an important component in Role-Playing...
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Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding
Given data, finding a faithful low-dimensional hyperbolic embedding of t...
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On the Equivalence between Online and Private Learnability beyond Binary Classification
Alon et al. [2019] and Bun et al. [2020] recently showed that online lea...
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Parts-Based Articulated Object Localization in Clutter Using Belief Propagation
Robots working in human environments must be able to perceive and act on...
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Full-Body Awareness from Partial Observations
There has been great progress in human 3D mesh recovery and great intere...
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Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles
Testing and evaluation is a crucial step in the development and deployme...
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Understanding Human Hands in Contact at Internet Scale
Hands are the central means by which humans manipulate their world and b...
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Associative3D: Volumetric Reconstruction from Sparse Views
This paper studies the problem of 3D volumetric reconstruction from two ...
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Improving Text-to-SQL Evaluation Methodology
To be informative, an evaluation must measure how well systems generaliz...
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Grounded Video Description
Video description is one of the most challenging problems in vision and ...
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Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee
Factorization machine (FM) is a popular machine learning model to captur...
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Learning Object Depth from Camera Motion and Video Object Segmentation
Video object segmentation, i.e., the separation of a target object from ...
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Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
With the recent evolution of mobile health technologies, health scientis...
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Discovery of Useful Questions as Auxiliary Tasks
Arguably, intelligent agents ought to be able to discover their own ques...
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Improving Zero Shot Learning Baselines with Commonsense Knowledge
Zero shot learning – the problem of training and testing on a completely...
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DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery
Recent work has shown that convolutional neural networks (CNNs) can be a...
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Learning Constraints from Demonstrations
We extend the learning from demonstration paradigm by providing a method...
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Contextual Markov Decision Processes using Generalized Linear Models
We consider the recently proposed reinforcement learning (RL) framework ...
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The Ambiguous World of Emotion Representation
Artificial intelligence and machine learning systems have demonstrated h...
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Thompson Sampling in Non-Episodic Restless Bandits
Restless bandit problems assume time-varying reward distributions of the...
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