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08/15/2023
A Survey on Model Compression for Large Language Models
Large Language Models (LLMs) have revolutionized natural language proces...
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08/14/2023
Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning
Due to the flexible representation of arbitrary-shaped scene text and si...
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05/10/2023
Combo of Thinking and Observing for Outside-Knowledge VQA
Outside-knowledge visual question answering is a challenging task that r...
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04/06/2023
Robust Neural Architecture Search
Neural Architectures Search (NAS) becomes more and more popular over the...
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02/11/2023
Operation-level Progressive Differentiable Architecture Search
Differentiable Neural Architecture Search (DARTS) is becoming more and m...
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02/11/2023
Improving Differentiable Architecture Search via Self-Distillation
Differentiable Architecture Search (DARTS) is a simple yet efficient Neu...
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11/02/2022
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Contrastive self-supervised learning (CSL) based on instance discriminat...
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10/26/2022
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
Despite the excellent performance of large-scale vision-language pre-tra...
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10/26/2022
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension
In this work, we focus on dialogue reading comprehension (DRC), a task e...
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10/21/2022
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection
Empathy, which is widely used in psychological counselling, is a key tra...
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10/17/2022
Joint Plasticity Learning for Camera Incremental Person Re-Identification
Recently, incremental learning for person re-identification receives inc...
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10/11/2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
Despite the remarkable success of pre-trained language models (PLMs), th...
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10/10/2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
Visual Question Answering (VQA) models are prone to learn the shortcut s...
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10/10/2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
Models for Visual Question Answering (VQA) often rely on the spurious co...
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06/06/2022
Towards Practical Differential Privacy in Data Analysis: Understanding the Effect of Epsilon on Utility in Private ERM
In this paper, we focus our attention on private Empirical Risk Minimiza...
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05/10/2022
UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection
Recent scene text detection methods are almost based on deep learning an...
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05/02/2022
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
Conversational Causal Emotion Entailment aims to detect causal utterance...
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04/24/2022
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training
Recent studies on the lottery ticket hypothesis (LTH) show that pre-trai...
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04/22/2022
Sharper Utility Bounds for Differentially Private Models
In this paper, by introducing Generalized Bernstein condition, we propos...
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04/11/2022
Stability and Generalization of Differentially Private Minimax Problems
In the field of machine learning, many problems can be formulated as the...
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03/24/2022
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering
Texts in scene images convey critical information for scene understandin...
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12/15/2021
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Real-world data often follows a long-tailed distribution, which makes th...
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09/16/2021
Dense Semantic Contrast for Self-Supervised Visual Representation Learning
Self-supervised representation learning for visual pre-training has achi...
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09/08/2021
Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images
Scene text detection has drawn the close attention of researchers. Thoug...
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09/08/2021
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection
Due to the large success in object detection and instance segmentation, ...
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07/08/2021
Video 3D Sampling for Self-supervised Representation Learning
Most of the existing video self-supervised methods mainly leverage tempo...
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07/05/2021
Multi-View Correlation Distillation for Incremental Object Detection
In real applications, new object classes often emerge after the detectio...
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07/02/2021
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification
Hierarchical classification is significant for complex tasks by providin...
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06/10/2021
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
Recently, knowledge distillation (KD) has shown great success in BERT co...
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06/08/2021
Check It Again: Progressive Visual Question Answering via Visual Entailment
While sophisticated Visual Question Answering models have achieved remar...
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05/07/2021
Exploring Instance Relations for Unsupervised Feature Embedding
Despite the great progress achieved in unsupervised feature embedding, e...
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05/07/2021
Differential Privacy for Pairwise Learning: Non-convex Analysis
Pairwise learning focuses on learning tasks with pairwise loss functions...
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02/01/2021
Rescuing Deep Hashing from Dead Bits Problem
Deep hashing methods have shown great retrieval accuracy and efficiency ...
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01/27/2021
Deep Image Retrieval: A Survey
In recent years a vast amount of visual content has been generated and s...
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12/29/2020
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation
Emotion Recognition in Conversation (ERC) is a more challenging task tha...
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12/03/2020
Learning Disentangled Intent Representations for Zero-shot Intent Detection
Zero-shot intent detection (ZSID) aims to deal with the continuously eme...
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10/19/2020
Gaussian Constrained Attention Network for Scene Text Recognition
Scene text recognition has been a hot topic in computer vision. Recent m...
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10/16/2020
New Ideas and Trends in Deep Multimodal Content Understanding: A Review
The focus of this survey is on the analysis of two modalities of multimo...
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10/15/2020
On the Exploration of Incremental Learning for Fine-grained Image Retrieval
In this paper, we consider the problem of fine-grained image retrieval i...
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08/06/2020
Exploring Relations in Untrimmed Videos for Self-Supervised Learning
Existing video self-supervised learning methods mainly rely on trimmed v...
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07/27/2020
Two-Level Residual Distillation based Triple Network for Incremental Object Detection
Modern object detection methods based on convolutional neural network su...
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07/13/2020
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification
Deep neural networks are highly effective when a large number of labeled...
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07/10/2020
FC2RN: A Fully Convolutional Corner Refinement Network for Accurate Multi-Oriented Scene Text Detection
Recent scene text detection works mainly focus on curve text detection. ...
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07/06/2020
Progressive Cluster Purification for Unsupervised Feature Learning
In unsupervised feature learning, sample specificity based methods ignor...
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06/18/2020
Neural Architecture Optimization with Graph VAE
Due to their high computational efficiency on a continuous space, gradie...
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05/23/2020
Self-Training for Domain Adaptive Scene Text Detection
Though deep learning based scene text detection has achieved great progr...
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05/22/2020
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
Scene text recognition is a hot research topic in computer vision. Recen...
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05/14/2020
On the Optimal Minimum Distance of Fractional Repetition Codes
Fractional repetition (FR) codes are a class of repair efficient erasure...
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04/22/2020
Keyphrase Prediction With Pre-trained Language Model
Recently, generative methods have been widely used in keyphrase predicti...
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03/09/2020