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09/21/2023
Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training
Contrastive learning, which is a powerful technique for learning image-l...
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09/14/2023
Flexible Functional Treatment Effect Estimation
We study treatment effect estimation with functional treatments where th...
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06/07/2023
Online Multi-Contact Receding Horizon Planning via Value Function Approximation
Planning multi-contact motions in a receding horizon fashion requires a ...
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05/23/2023
Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation
Non-parametric, k-nearest-neighbor algorithms have recently made inroads...
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04/24/2023
Functional Causal Inference with Time-to-Event Data
Functional data is a powerful tool for capturing and analyzing complex p...
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03/07/2023
ADELT: Transpilation Between Deep Learning Frameworks
We propose Adversarial DEep Learning Transpiler (ADELT) for source-to-so...
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02/15/2023
LiveHand: Real-time and Photorealistic Neural Hand Rendering
The human hand is the main medium through which we interact with our sur...
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01/27/2023
Strategic Defense of Feedback-Controlled Parallel Queues against Reliability and Security Failures
Parallel traffic service systems such as transportation, manufacturing, ...
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11/16/2022
TSMind: Alibaba and Soochow University's Submission to the WMT22 Translation Suggestion Task
This paper describes the joint submission of Alibaba and Soochow Univers...
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11/14/2022
Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation
Fully machine translation scarcely guarantees error-free results. Humans...
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10/04/2022
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow
Reconstructing two-hand interactions from a single image is a challengin...
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09/29/2022
Blessing from Experts: Super Reinforcement Learning in Confounded Environments
We introduce super reinforcement learning in the batch setting, which ta...
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07/18/2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation
Traditional fine-grained image classification typically relies on large-...
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04/19/2022
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity
Due to the high human cost of annotation, it is non-trivial to curate a ...
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03/19/2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
Recently, the problem of robustness of pre-trained language models (PrLM...
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12/30/2021
QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task
Quality Estimation, as a crucial step of quality control for machine tra...
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09/15/2021
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
Quality Estimation (QE) plays an essential role in applications of Machi...
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09/10/2021
Projected State-action Balancing Weights for Offline Reinforcement Learning
Offline policy evaluation (OPE) is considered a fundamental and challeng...
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06/22/2021
RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video
Tracking and reconstructing the 3D pose and geometry of two hands in int...
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06/09/2021
Matrix Completion with Model-free Weighting
In this paper, we propose a novel method for matrix completion under gen...
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05/30/2021
Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice
Pre-trained contextualized language models (PrLMs) have led to strong pe...
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03/05/2021
Estimation of Partially Conditional Average Treatment Effect by Hybrid Kernel-covariate Balancing
We study nonparametric estimation for the partially conditional average ...
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12/30/2020
Enhancing Pre-trained Language Model with Lexical Simplification
For both human readers and pre-trained language models (PrLMs), lexical ...
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12/11/2020
EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream
3D hand pose estimation from monocular videos is a long-standing and cha...
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10/24/2020
Local Averaging Helps: Hierarchical Federated Learning and Convergence Analysis
Federated learning is an effective approach to realize collaborative lea...
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09/19/2020
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
With the advent of neural machine translation, there has been a marked s...
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08/29/2020
Low-Rank Covariance Function Estimation for Multidimensional Functional Data
Multidimensional function data arise from many fields nowadays. The cova...
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07/06/2020
Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation
We propose to use a model-based generative loss for training hand pose e...
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10/24/2019
Convex Optimisation for Inverse Kinematics
We consider the problem of inverse kinematics (IK), where one wants to f...
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10/03/2019
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System
The performances of automatic speech recognition (ASR) systems are usual...
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08/22/2019
An encoding framework with brain inner state for natural image identification
Neural encoding and decoding, which aim to characterize the relationship...
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08/14/2019
Predicting Eating Events in Free Living Individuals -- A Technical Report
This technical report records the experiments of applying multiple machi...
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11/05/2018
Low-Rank Phase Retrieval via Variational Bayesian Learning
In this paper, we consider the problem of low-rank phase retrieval whose...
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07/25/2018