research
∙
06/20/2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Generative Pre-trained Transformer (GPT) models have exhibited exciting ...
share
research
∙
05/25/2023
Mixture-of-Expert Conformer for Streaming Multilingual ASR
End-to-end models with large capacity have significantly improved multil...
research
∙
12/21/2022
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data
Machine learning methods have seen increased application to geospatial e...
research
∙
11/10/2022
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies
Existing correspondence datasets for two-dimensional (2D) cartoon suffer...
research
∙
11/01/2022
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems
Automatic speech recognition (ASR) systems typically rely on an external...
research
∙
10/13/2022
JOIST: A Joint Speech and Text Streaming Model For ASR
We present JOIST, an algorithm to train a streaming, cascaded, encoder e...
research
∙
10/13/2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Out-of-distribution (OOD) detection is vital to safety-critical machine ...
research
∙
10/11/2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
Long-tail distribution is widely spread in real-world applications. Due ...
research
∙
09/16/2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
A trustworthy reinforcement learning algorithm should be competent in so...
research
∙
08/29/2022
Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios
In response to the existing object detection algorithms are applied to c...
research
∙
08/29/2022
Turn-Taking Prediction for Natural Conversational Speech
While a streaming voice assistant system has been used in many applicati...
research
∙
07/25/2022
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination
Transfer learning through the use of pre-trained models has become a gro...
research
∙
07/21/2022
UniFed: A Benchmark for Federated Learning Frameworks
Federated Learning (FL) has become a practical and popular paradigm in m...
research
∙
07/20/2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Federated learning (FL) enables distributed devices to jointly train a s...
research
∙
06/16/2022
MixGen: A New Multi-Modal Data Augmentation
Data augmentation is a necessity to enhance data efficiency in deep lear...
research
∙
06/08/2022
Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners
Domain generalization (DG) aims at learning generalizable models under d...
research
∙
05/16/2022
VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge
Image-to-image translation is an important and challenging problem in co...
research
∙
05/03/2022
Cross Domain Object Detection by Target-Perceived Dual Branch Distillation
Cross domain object detection is a realistic and challenging task in the...
research
∙
03/10/2022
Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking
Exploiting a general-purpose neural architecture to replace hand-wired d...
research
∙
01/28/2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Safe reinforcement learning (RL) aims to learn policies that satisfy cer...
research
∙
12/10/2021
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models
Deep learning (DL) models, especially those large-scale and high-perform...
research
∙
12/02/2021
EngineKGI: Closed-Loop Knowledge Graph Inference
Knowledge Graph (KG) inference is the vital technique to address the nat...
research
∙
11/09/2021
SAFA: Structure Aware Face Animation
Recent success of generative adversarial networks (GAN) has made great p...
research
∙
10/04/2021
Trustworthy AI: From Principles to Practices
Fast developing artificial intelligence (AI) technology has enabled vari...
research
∙
06/08/2021
Semantically Controllable Scene Generation with Guidance of Explicit Knowledge
Deep Generative Models (DGMs) are known for their superior capability in...
research
∙
03/30/2021
Spatiotemporal Transformer for Video-based Person Re-identification
Recently, the Transformer module has been transplanted from natural lang...
research
∙
03/11/2021
Learning Word-Level Confidence For Subword End-to-End ASR
We study the problem of word-level confidence estimation in subword-base...
research
∙
11/10/2020
Decoupled Appearance and Motion Learning for Efficient Anomaly Detection in Surveillance Video
Automating the analysis of surveillance video footage is of great intere...
research
∙
10/21/2020
FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization
Streaming automatic speech recognition (ASR) aims to emit each hypothesi...
research
∙
10/12/2020
Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling
Streaming automatic speech recognition (ASR) aims to emit each hypothesi...
research
∙
08/03/2020
GP-SLAM+: real-time 3D lidar SLAM based on improved regionalized Gaussian process map reconstruction
This paper presents a 3D lidar SLAM system based on improved regionalize...
research
∙
06/23/2020
Rethinking Distributional Matching Based Domain Adaptation
Domain adaptation (DA) is a technique that transfers predictive models t...
research
∙
06/12/2020
Learning Decomposed Representation for Counterfactual Inference
One fundamental problem in the learning treatment effect from observatio...
research
∙
05/27/2020
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges
In recent years, distributed deep learning techniques are widely deploye...
research
∙
03/19/2020
RAB: Provable Robustness Against Backdoor Attacks
Recent studies have shown that deep neural networks (DNNs) are vulnerabl...
research
∙
03/10/2020
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey
Distributed deep learning becomes very common to reduce the overall trai...
research
∙
02/26/2020
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
In many practical applications, it is often difficult and expensive to o...
research
∙
02/06/2020
AI-GAN: Attack-Inspired Generation of Adversarial Examples
Adversarial examples that can fool deep models are mainly crafted by add...
research
∙
11/17/2019
REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data
Deep neural networks (DNNs) have achieved tremendous success in various ...
research
∙
11/07/2019
ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units using Chebyshev Approximations
In a recent paper[B. Li, S. Tang and H. Yu, arXiv:1903.05858, to appear ...
research
∙
06/09/2019
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense
The worst-case training principle that minimizes the maximal adversarial...
research
∙
05/22/2019
Strategyproof and Approximately Maxmin Fair Share Allocation of Chores
We initiate the work on fair and strategyproof allocation of indivisible...
research
∙
02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
research
∙
09/19/2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
Starcraft II (SCII) is widely considered as the most challenging Real Ti...
research
∙
07/20/2018
Physical Adversarial Examples for Object Detectors
Deep neural networks (DNNs) are vulnerable to adversarial examples-malic...
research
∙
05/14/2018
AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps
Contemporary financial technology (FinTech) that enables cashless mobile...
research
∙
03/20/2018
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems
Deep learning defines a new data-driven programming paradigm that constr...
research
∙
08/22/2017
