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Learning to Prune Deep Neural Networks via Reinforcement Learning
This paper proposes PuRL - a deep reinforcement learning (RL) based algo...
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Differential Privacy at Risk: Bridging Randomness and Privacy Budget
The calibration of noise for a privacy-preserving mechanism depends on t...
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Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications
In recent years, self-supervised methods for monocular depth estimation ...
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Multi-source Domain Adaptation for Visual Sentiment Classification
Existing domain adaptation methods on visual sentiment classification ty...
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Revisit Knowledge Distillation: a Teacher-free Framework
Knowledge Distillation (KD) aims to distill the knowledge of a cumbersom...
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Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion
Emotional voice conversion aims to convert the emotion of the speech fro...
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Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
This paper presents a variational Bayesian kernel selection (VBKS) algor...
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Bonn Activity Maps: Dataset Description
The key prerequisite for accessing the huge potential of current machine...
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Inverse Reinforcement Learning with Missing Data
We consider the problem of recovering an expert's reward function with i...
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Threats to Federated Learning: A Survey
With the emergence of data silos and popular privacy awareness, the trad...
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Loss Guided Activation for Action Recognition in Still Images
One significant problem of deep-learning based human action recognition ...
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Few-shot Adaptive Faster R-CNN
To mitigate the detection performance drop caused by domain shift, we ai...
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Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus
Responding to the need for semantic lexical resources in natural languag...
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Single-Stage Multi-Person Pose Machines
Multi-person pose estimation is a challenging problem. Existing methods ...
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PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer
We propose a novel Pose-robust Spatial-aware GAN (PSGAN) for transferrin...
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ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Recent powerful pre-trained language models have achieved remarkable per...
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CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation
We analyze clouds in the earth's atmosphere using ground-based sky camer...
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Explainable Video Action Reasoning via Prior Knowledge and State Transitions
Human action analysis and understanding in videos is an important and ch...
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Human Annotations Improve GAN Performances
Generative Adversarial Networks (GANs) have shown great success in many ...
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Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
The optimal policy of a reinforcement learning problem is often disconti...
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Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
Intelligent robots need to achieve abstract objectives using concrete, s...
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The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation
Identifying hidden dynamics from observed data is a significant and chal...
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Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization
In this paper, we present a novel unsupervised video summarization model...
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Balanced Meta-Softmax for Long-Tailed Visual Recognition
Deep classifiers have achieved great success in visual recognition. Howe...
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Manifold Fitting in Ambient Space
Modern data sets in many applications no longer comprise samples of real...
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TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications
In high stakes applications such as healthcare and finance analytics, th...
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Shallow Cue Guided Deep Visual Tracking via Mixed Models
In this paper, a robust visual tracking approach via mixed model based c...
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Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
3D human pose estimation from a monocular image or 2D joints is an ill-p...
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Bilinear Graph Neural Network with Node Interactions
Graph Neural Network (GNN) is a powerful model to learn representations ...
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PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
Despite the great progress made by deep CNNs in image semantic segmentat...
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MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
Given a stream of graph edges from a dynamic graph, how can we assign an...
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A Characteristic Function Approach to Deep Implicit Generative Modeling
In this paper, we formulate the problem of learning an Implicit Generati...
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Fine-Grained Urban Flow Inference
The ubiquitous deployment of monitoring devices in urban flow monitoring...
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Estimation of sparse Gaussian graphical models with hidden clustering structure
Estimation of Gaussian graphical models is important in natural science ...
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Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Solving long-tail large vocabulary object detection with deep learning b...
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Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
We consider the problem of semi-supervised 3D action recognition which h...
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State-Aware Variational Thompson Sampling for Deep Q-Networks
Thompson sampling is a well-known approach for balancing exploration and...
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Unsupervised Image Noise Modeling with Self-Consistent GAN
Noise modeling lies in the heart of many image processing tasks. However...
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MOTS: Minimax Optimal Thompson Sampling
Thompson sampling is one of the most widely used algorithms for many onl...
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TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection
This work provides a simple approach to discover tight object bounding b...
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Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
Existing video-based human pose estimation methods extensively apply lar...
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Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive (UDA) person re-identification (re-ID) is a...
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Rolling-Shutter-Aware Differential SfM and Image Rectification
In this paper, we develop a modified differential Structure from Motion ...
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Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning
3D face reconstruction from a single 2D image is a challenging problem w...
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GraphX^NET- Chest X-Ray Classification Under Extreme Minimal Supervision
The task of classifying X-ray data is a problem of both theoretical and ...
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Identifying through Flows for Recovering Latent Representations
Identifiability, or recovery of the true latent representations from whi...
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SESS: Self-Ensembling Semi-Supervised 3D Object Detection
The performance of existing point cloud-based 3D object detection method...
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Bayesian Optimization with Binary Auxiliary Information
This paper presents novel mixed-type Bayesian optimization (BO) algorith...
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Studying The Effect of MIL Pooling Filters on MIL Tasks
There are different multiple instance learning (MIL) pooling filters use...
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Object Relation Detection Based on One-shot Learning
Detecting the relations among objects, such as "cat on sofa" and "person...
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