research
∙
08/30/2023
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models
In recent years, there have been remarkable advancements in the performa...
share
research
∙
08/17/2023
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning
Cross-lingual named entity recognition (CrossNER) faces challenges stemm...
research
∙
07/25/2023
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
As the size of transformer-based models continues to grow, fine-tuning t...
research
∙
07/24/2023
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
We investigate various prompting strategies for enhancing personalized r...
research
∙
07/22/2023
CryptoMask : Privacy-preserving Face Recognition
Face recognition is a widely-used technique for identification or verifi...
research
∙
06/30/2023
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning
Large language models show impressive results on few-shot NLP tasks. How...
research
∙
06/15/2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
This paper introduces the Fair Fairness Benchmark (), a benchmarking fra...
research
∙
06/13/2023
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
The past decade has witnessed the flourishing of a new profession as med...
research
∙
05/24/2023
The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning
Chain-of-Thought prompting (CoT) enables large-scale language models to ...
research
∙
05/24/2023
Disentangled Phonetic Representation for Chinese Spelling Correction
Chinese Spelling Correction (CSC) aims to detect and correct erroneous c...
research
∙
05/24/2023
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes
We propose attribute-aware multimodal entity linking, where the input is...
research
∙
05/23/2023
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality
Contrastively trained vision-language models have achieved remarkable pr...
research
∙
05/01/2023
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
Decision tree (DT) is a widely used machine learning model due to its ve...
research
∙
04/23/2023
TransFlow: Transformer as Flow Learner
Optical flow is an indispensable building block for various important co...
research
∙
04/04/2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning
Recently, self-supervised learning (SSL) was shown to be vulnerable to p...
research
∙
04/01/2023
SVT: Supertoken Video Transformer for Efficient Video Understanding
Whether by processing videos with fixed resolution from start to end or ...
research
∙
03/20/2023
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition
Named entity recognition (NER) is an important research problem in natur...
research
∙
03/02/2023
Stochastic Clustered Federated Learning
Federated learning is a distributed learning framework that takes full a...
research
∙
02/04/2023
Representation Deficiency in Masked Language Modeling
Masked Language Modeling (MLM) has been one of the most prominent approa...
research
∙
12/15/2022
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration
Instance segmentation in videos, which aims to segment and track multipl...
research
∙
12/03/2022
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection
Predicting personality traits based on online posts has emerged as an im...
research
∙
11/04/2022
Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler
Active learning with strong and weak labelers considers a practical sett...
research
∙
10/14/2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Personalized text generation has broad industrial applications, such as ...
research
∙
10/12/2022
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning
Fine-tuning large pre-trained language models on downstream tasks is apt...
research
∙
10/11/2022
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling
Transformer-based models have achieved great success on sentence pair mo...
research
∙
10/10/2022
XPrompt: Exploring the Extreme of Prompt Tuning
Prompt tuning learns soft prompts to condition frozen Pre-trained Langua...
research
∙
09/19/2022
Autoregressive Entity Generation for End-to-End Task-Oriented Dialog
Task-oriented dialog (TOD) systems often require interaction with an ext...
research
∙
08/23/2022
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations
Pre-trained Language Models (PLMs) have achieved remarkable performance ...
research
∙
08/23/2022
Fall Detection from Audios with Audio Transformers
Fall detection for the elderly is a well-researched problem with several...
research
∙
08/19/2022
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian
Facial pose estimation refers to the task of predicting face orientation...
research
∙
05/29/2022
AutoDisc: Automatic Distillation Schedule for Large Language Model Compression
Driven by the teacher-student paradigm, knowledge distillation is one of...
research
∙
05/22/2022
GL-RG: Global-Local Representation Granularity for Video Captioning
Video captioning is a challenging task as it needs to accurately transfo...
research
∙
03/05/2022
Deep Partial Multiplex Network Embedding
Network embedding is an effective technique to learn the low-dimensional...
research
∙
03/02/2022
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE
The classification service over a stream of data is becoming an importan...
research
∙
02/01/2022
WebFormer: The Web-page Transformer for Structure Information Extraction
Structure information extraction refers to the task of extracting struct...
research
∙
09/11/2020
CatGCN: Graph Convolutional Networks with Categorical Node Features
Recent studies on Graph Convolutional Networks (GCNs) reveal that the in...
research
∙
07/28/2020
Big Bird: Transformers for Longer Sequences
Transformers-based models, such as BERT, have been one of the most succe...
research
∙
01/30/2020
