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08/10/2023
PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs
In this paper, we develop a new method to automatically convert 2D line ...
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06/26/2023
LongCoder: A Long-Range Pre-trained Language Model for Code Completion
In this paper, we introduce a new task for code completion that focuses ...
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06/01/2023
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning
Recent advances in vision-language pre-training have enabled machines to...
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05/23/2023
Selective Pre-training for Private Fine-tuning
Suppose we want to train text prediction models in email clients or word...
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05/05/2023
From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base
Parsing questions into executable logical forms has showed impressive re...
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10/20/2022
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers
This paper presents ReasonFormer, a unified reasoning framework for mirr...
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10/12/2022
Optimizing Evaluation Metrics for Multi-Task Learning via the Alternating Direction Method of Multipliers
Multi-task learning (MTL) aims to improve the generalization performance...
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06/06/2022
Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent
Differentially private stochastic gradient descent (DP-SGD) is the workh...
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04/28/2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
The goal of anomaly detection is to identify anomalous samples from norm...
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01/14/2022
ViT2Hash: Unsupervised Information-Preserving Hashing
Unsupervised image hashing, which maps images into binary codes without ...
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11/01/2021
Indiscriminate Poisoning Attacks Are Shortcuts
Indiscriminate data poisoning attacks, which add imperceptible perturbat...
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10/14/2021
Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer
The identification of active binding drugs for target proteins (termed a...
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06/18/2021
Learning to Generate Code Sketches
Traditional generative models are limited to predicting sequences of ter...
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06/17/2021
Large Scale Private Learning via Low-rank Reparametrization
We propose a reparametrization scheme to address the challenges of apply...
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02/15/2021
REST: Relational Event-driven Stock Trend Forecasting
Stock trend forecasting, aiming at predicting the stock future trends, i...
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10/15/2020
Neural Deepfake Detection with Factual Structure of Text
Deepfake detection, the task of automatically discriminating machine-gen...
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09/17/2020
GraphCodeBERT: Pre-training Code Representations with Data Flow
Pre-trained models for programming language have achieved dramatic empir...
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07/21/2020
Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary
Membership inference (MI) in machine learning decides whether a given ex...
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06/15/2020
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
Generating inferential texts about an event in different perspectives re...
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05/02/2020
SEEK: Segmented Embedding of Knowledge Graphs
In recent years, knowledge graph embedding becomes a pretty hot research...
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04/28/2020
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
Verifying the correctness of a textual statement requires not only seman...
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04/25/2020
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts
We study question answering over a dynamic textual environment. Although...
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04/07/2020
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning
We study the problem of generating inferential texts of events for a var...
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12/20/2019
Controllable Face Aging
Motivated by the following two observations: 1) people are aging differe...
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11/26/2019
Gradient Perturbation is Underrated for Differentially Private Convex Optimization
Gradient perturbation, widely used for differentially private optimizati...
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11/19/2019
Modal-aware Features for Multimodal Hashing
Many retrieval applications can benefit from multiple modalities, e.g., ...
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11/19/2019
Simultaneous Region Localization and Hash Coding for Fine-grained Image Retrieval
Fine-grained image hashing is a challenging problem due to the difficult...
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09/09/2019
Reasoning Over Semantic-Level Graph for Fact Checking
We study fact-checking in this paper, which aims to verify a textual cla...
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06/17/2019
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing
In this paper, we present an approach to incorporate retrieved datapoint...
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06/03/2019
Fashion Editing with Multi-scale Attention Normalization
Interactive fashion image manipulation, which enables users to edit imag...
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04/04/2019
Feature Pyramid Hashing
In recent years, deep-networks-based hashing has become a leading approa...
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04/03/2019
Deep Policy Hashing Network with Listwise Supervision
Deep-networks-based hashing has become a leading approach for large-scal...
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02/28/2019
Towards Multi-pose Guided Virtual Try-on Network
Virtual try-on system under arbitrary human poses has huge application p...
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10/27/2018
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis
Despite remarkable advances in image synthesis research, existing works ...
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09/05/2018
Improving Question Answering by Commonsense-Based Pre-Training
Although neural network approaches achieve remarkable success on a varie...
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08/20/2018
Question Generation from SQL Queries Improves Neural Semantic Parsing
We study how to learn a semantic parser of state-of-the-art accuracy wit...
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11/26/2017
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks
Face age progression, which aims to predict the future looks, is importa...
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11/26/2017
