
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Deep learning's great success motivates many practitioners and students ...
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Counterfactual States for Atari Agents via Generative Deep Learning
Although deep reinforcement learning agents have produced impressive res...
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Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
In this paper we establish rigorous benchmarks for image classifier robu...
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CNN 101: Interactive Visual Learning for Convolutional Neural Networks
The success of deep learning solving previouslythought hard problems ha...
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Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
Heatmap regression has became one of the mainstream approaches to locali...
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Feature Weighting and Boosting for FewShot Segmentation
This paper is about fewshot segmentation of foreground objects in image...
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Deep Variational Instance Segmentation
Instance Segmentation, which seeks to obtain both class and instance lab...
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Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
Strictly enforcing orthonormality constraints on parameter matrices has ...
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Weakly Supervised EnergyBased Learning for Action Segmentation
This paper is about labeling video frames with action classes under weak...
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Deep Convolution for Irregularly Sampled Temporal Point Clouds
We consider the problem of modeling the dynamics of continuous spatialt...
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Contrastive Identification of Covariate Shift in Image Data
Identifying covariate shift is crucial for making machine learning syste...
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Evolutionary Reinforcement Learning for SampleEfficient Multiagent Coordination
A key challenge for Multiagent RL (Reinforcement Learning) is the design...
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From Heatmaps to Structural Explanations of Image Classifiers
This paper summarizes our endeavors in the past few years in terms of ex...
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Deep Anomaly Detection with Outlier Exposure
It is important to detect and handle anomalous inputs when deploying mac...
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Remember What You have drawn: Semantic Image Manipulation with Memory
Image manipulation with natural language, which aims to manipulate image...
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Improving Multilingual Translation by Representation and Gradient Regularization
Multilingual Neural Machine Translation (NMT) enables one model to serve...
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SetConstrained Viterbi for SetSupervised Action Segmentation
This paper is about weakly supervised action segmentation, where ground ...
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Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data
Can we develop visually grounded dialog agents that can efficiently adap...
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Approximation Algorithms for MultiRobot PatrolScheduling with MinMax Latency
We consider the problem of finding patrol schedules for k robots to visi...
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MAM: Masked Acoustic Modeling for EndtoEnd SpeechtoText Translation
Endtoend Speechtotext Translation (E2E ST), which directly translat...
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Visualizing Deep Networks by Optimizing with Integrated Gradients
Understanding and interpreting the decisions made by deep learning model...
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Sequential Feature Explanations for Anomaly Detection
In many applications, an anomaly detection system presents the most anom...
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CXToM: Counterfactual Explanations with TheoryofMind for Enhancing Human Trust in Image Recognition Models
We propose CXToM, short for counterfactual explanations with theoryof ...
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Tensors, Learning, and 'Kolmogorov Extension' for Finitealphabet Random Vectors
Estimating the joint probability mass function (PMF) of a set of random ...
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On Convergence of Epanechnikov Mean Shift
Epanechnikov Mean Shift is a simple yet empirically very effective algor...
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Incorporating Feedback into Treebased Anomaly Detection
Anomaly detectors are often used to produce a ranked list of statistical...
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Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction
The increasing size and complexity of scientific data could dramatically...
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CERN: ConfidenceEnergy Recurrent Network for Group Activity Recognition
This work is about recognizing human activities occurring in videos at d...
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A Signaling Game Approach to Databases Querying and Interaction
As most database users cannot precisely express their information needs,...
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Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion
This paper addresses a new problem of joint object boundary detection an...
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Schema Independent Relational Learning
Learning novel concepts and relations from relational databases is an im...
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Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
Deep learning has greatly improved visual recognition in recent years. H...
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Beam Search for Learning a Deep Convolutional Neural Network of 3D Shapes
This paper addresses 3D shape recognition. Recent work typically represe...
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ConfidenceConstrained Maximum Entropy Framework for Learning from MultiInstance Data
Multiinstance data, in which each object (bag) contains a collection of...
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Spectral Clustering and Block Models: A Review And A New Algorithm
We focus on spectral clustering of unlabeled graphs and review some resu...
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A Continuous Optimization Approach for Efficient and Accurate Scene Flow
We propose a continuous optimization method for solving dense 3D scene f...
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Approximate Policy Iteration for Budgeted Semantic Video Segmentation
This paper formulates and presents a solution to the new problem of budg...
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TreeCut for Probabilistic Image Segmentation
This paper presents a new probabilistic generative model for image segme...
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Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction
This paper is about detecting functional objects and inferring human int...
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Hybrid Batch Bayesian Optimization
Bayesian Optimization aims at optimizing an unknown nonconvex/concave f...
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An Information Geometric Framework for Dimensionality Reduction
This report concerns the problem of dimensionality reduction through inf...
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Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis
Flow cytometry is often used to characterize the malignant cells in leuk...
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FINE: Fisher Information Nonparametric Embedding
We consider the problems of clustering, classification, and visualizatio...
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OSU Multimodal Machine Translation System Report
This paper describes Oregon State University's submissions to the shared...
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Group Sparse CNNs for Question Classification with Answer Sets
Question classification is an important task with wide applications. How...
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Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
Sentencelevel classification and sequential labeling are two fundamenta...
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Incremental Parsing with Minimal Features Using BiDirectional LSTM
Recently, neural network approaches for parsing have largely automated t...
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Good, Better, Best: Choosing Word Embedding Context
We propose two methods of learning vector representations of words and p...
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Accelerating solutions of onedimensional unsteady PDEs with GPUbased swept timespace decomposition
The expedient design of precision components in aerospace and other high...
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A DesignSpace Exploration for Allocating Security Tasks in Multicore RealTime Systems
The increased capabilities of modern realtime systems (RTS) expose them...
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