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Learning to Prune Deep Neural Networks via Reinforcement Learning

This paper proposes PuRL - a deep reinforcement learning (RL) based algo...
07/09/2020 ∙ by Manas Gupta, et al. ∙ 92 ∙ share

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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...
03/02/2020 ∙ by Ashish Dandekar, et al. ∙ 37 ∙ share

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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 ...
04/12/2020 ∙ by Feng Xue, et al. ∙ 33 ∙ share

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Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation

Simultaneous localization and mapping (SLAM) remains challenging for a n...
05/17/2021 ∙ by Peter Karkus, et al. ∙ 31 ∙ share

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Multi-source Domain Adaptation for Visual Sentiment Classification

Existing domain adaptation methods on visual sentiment classification ty...
01/12/2020 ∙ by Chuang Lin, et al. ∙ 30 ∙ share

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Revisit Knowledge Distillation: a Teacher-free Framework

Knowledge Distillation (KD) aims to distill the knowledge of a cumbersom...
09/25/2019 ∙ by Li Yuan, et al. ∙ 29 ∙ share

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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...
05/13/2020 ∙ by Kun Zhou, et al. ∙ 29 ∙ share

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Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression

This paper presents a variational Bayesian kernel selection (VBKS) algor...
12/05/2019 ∙ by Tong Teng, et al. ∙ 28 ∙ share

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Bonn Activity Maps: Dataset Description

The key prerequisite for accessing the huge potential of current machine...
12/13/2019 ∙ by Julian Tanke, et al. ∙ 28 ∙ share

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Inverse Reinforcement Learning with Missing Data

We consider the problem of recovering an expert's reward function with i...
11/16/2019 ∙ by Tien Mai, et al. ∙ 26 ∙ share

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Threats to Federated Learning: A Survey

With the emergence of data silos and popular privacy awareness, the trad...
03/04/2020 ∙ by Lingjuan Lyu, et al. ∙ 25 ∙ share

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Loss Guided Activation for Action Recognition in Still Images

One significant problem of deep-learning based human action recognition ...
12/11/2018 ∙ by Lu Liu, et al. ∙ 24 ∙ share

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Few-shot Adaptive Faster R-CNN

To mitigate the detection performance drop caused by domain shift, we ai...
03/22/2019 ∙ by Tao Wang, et al. ∙ 24 ∙ share

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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...
11/27/2019 ∙ by Su Nam Kim, et al. ∙ 24 ∙ share

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Single-Stage Multi-Person Pose Machines

Multi-person pose estimation is a challenging problem. Existing methods ...
08/24/2019 ∙ by Xuecheng Nie, et al. ∙ 23 ∙ share

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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...
09/16/2019 ∙ by Wentao Jiang, et al. ∙ 23 ∙ share

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ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning

Recent powerful pre-trained language models have achieved remarkable per...
02/11/2020 ∙ by Weihao Yu, et al. ∙ 23 ∙ share

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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...
04/16/2019 ∙ by Soumyabrata Dev, et al. ∙ 22 ∙ share

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Technical Report: Temporal Aggregate Representations

This technical report extends our work presented in [9] with more experi...
06/06/2021 ∙ by Fadime Sener, et al. ∙ 21 ∙ share

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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...
08/28/2019 ∙ by Tao Zhuo, et al. ∙ 19 ∙ share

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Human Annotations Improve GAN Performances

Generative Adversarial Networks (GANs) have shown great success in many ...
11/15/2019 ∙ by Juanyong Duan, et al. ∙ 19 ∙ share

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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...
02/07/2020 ∙ by Zhimin Hou, et al. ∙ 19 ∙ share

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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...
10/03/2020 ∙ by Peter Karkus, et al. ∙ 18 ∙ share

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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...
03/21/2021 ∙ by Qiang Du, et al. ∙ 18 ∙ share

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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...
04/17/2019 ∙ by Li Yuan, et al. ∙ 17 ∙ share

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Balanced Meta-Softmax for Long-Tailed Visual Recognition

Deep classifiers have achieved great success in visual recognition. Howe...
07/21/2020 ∙ by Jiawei Ren, et al. ∙ 17 ∙ share

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Manifold Fitting in Ambient Space

Modern data sets in many applications no longer comprise samples of real...
09/30/2019 ∙ by Zhigang Yao, et al. ∙ 15 ∙ share

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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...
03/24/2020 ∙ by Kaiping Zheng, et al. ∙ 15 ∙ share

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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...
12/19/2018 ∙ by Fangwen Tu, et al. ∙ 14 ∙ share

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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...
04/11/2019 ∙ by Chen Li, et al. ∙ 14 ∙ share

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Bilinear Graph Neural Network with Node Interactions

Graph Neural Network (GNN) is a powerful model to learn representations ...
02/10/2020 ∙ by Hongmin Zhu, et al. ∙ 14 ∙ share

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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...
08/18/2019 ∙ by Kaixin Wang, et al. ∙ 13 ∙ share

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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...
11/11/2019 ∙ by Siddharth Bhatia, et al. ∙ 13 ∙ share

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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...
09/16/2019 ∙ by Abdul Fatir Ansari, et al. ∙ 12 ∙ share

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Fine-Grained Urban Flow Inference

The ubiquitous deployment of monitoring devices in urban flow monitoring...
02/05/2020 ∙ by Kun Ouyang, et al. ∙ 12 ∙ share

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Estimation of sparse Gaussian graphical models with hidden clustering structure

Estimation of Gaussian graphical models is important in natural science ...
04/17/2020 ∙ by Meixia Lin, et al. ∙ 12 ∙ share

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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...
06/18/2020 ∙ by Yu Li, et al. ∙ 12 ∙ share

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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...
07/12/2020 ∙ by Chenyang Si, et al. ∙ 12 ∙ share

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State-Aware Variational Thompson Sampling for Deep Q-Networks

Thompson sampling is a well-known approach for balancing exploration and...
02/07/2021 ∙ by Siddharth Aravindan, et al. ∙ 12 ∙ share

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Unsupervised Image Noise Modeling with Self-Consistent GAN

Noise modeling lies in the heart of many image processing tasks. However...
06/13/2019 ∙ by Hanshu Yan, et al. ∙ 11 ∙ share

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MOTS: Minimax Optimal Thompson Sampling

Thompson sampling is one of the most widely used algorithms for many onl...
03/03/2020 ∙ by Tianyuan Jin, et al. ∙ 11 ∙ share

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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...
07/13/2018 ∙ by Yunchao Wei, et al. ∙ 10 ∙ share

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Dynamic Kernel Distillation for Efficient Pose Estimation in Videos

Existing video-based human pose estimation methods extensively apply lar...
08/24/2019 ∙ by Xuecheng Nie, et al. ∙ 9 ∙ share

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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...
12/26/2020 ∙ by Yongxing Dai, et al. ∙ 9 ∙ share

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Rolling-Shutter-Aware Differential SfM and Image Rectification

In this paper, we develop a modified differential Structure from Motion ...
03/10/2019 ∙ by Bingbing Zhuang, et al. ∙ 8 ∙ share

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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...
03/22/2019 ∙ by Xiaoguang Tu, et al. ∙ 8 ∙ share

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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 ...
07/23/2019 ∙ by Angelica I. Aviles-Rivero, et al. ∙ 8 ∙ share

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Identifying through Flows for Recovering Latent Representations

Identifiability, or recovery of the true latent representations from whi...
09/27/2019 ∙ by Shen Li, et al. ∙ 8 ∙ share

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SESS: Self-Ensembling Semi-Supervised 3D Object Detection

The performance of existing point cloud-based 3D object detection method...
12/26/2019 ∙ by Na Zhao, et al. ∙ 8 ∙ share

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Bayesian Optimization with Binary Auxiliary Information

This paper presents novel mixed-type Bayesian optimization (BO) algorith...
06/17/2019 ∙ by Yehong Zhang, et al. ∙ 7 ∙ share

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