research
∙
09/21/2023
AceGPT, Localizing Large Language Models in Arabic
This paper explores the imperative need and methodology for developing a...
share
research
∙
08/10/2023
Tracing the Influence of Predecessors on Trajectory Prediction
In real-world traffic scenarios, agents such as pedestrians and car driv...
research
∙
08/09/2023
An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images
Perception that involves multi-object detection and tracking, and trajec...
research
∙
07/31/2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels
In real-world applications, perfect labels are rarely available, making ...
research
∙
07/17/2023
A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images
Skin diseases are among the most prevalent health issues, and accurate c...
research
∙
07/13/2023
DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations
Applications that could benefit from automatic understanding of human-hu...
research
∙
06/29/2023
Spiking Denoising Diffusion Probabilistic Models
Spiking neural networks (SNNs) have ultra-low energy consumption and hig...
research
∙
06/12/2023
Augmenting Language Models with Long-Term Memory
Existing large language models (LLMs) can only afford fix-sized inputs d...
research
∙
06/07/2023
RGBlimp: Robotic Gliding Blimp – Design, Modeling, Development, and Aerodynamics Analysis
A miniature robotic blimp, as one type of lighter-than-air aerial vehicl...
research
∙
06/03/2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Modern neural networks are known to give overconfident prediction for ou...
research
∙
05/31/2023
Lattice-Aided Extraction of Spread-Spectrum Hidden Data
This paper discusses the problem of extracting spread spectrum hidden da...
research
∙
05/23/2023
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding
Scientific literature understanding tasks have gained significant attent...
research
∙
05/04/2023
Chain-of-Skills: A Configurable Model for Open-domain Question Answering
The retrieval model is an indispensable component for real-world knowled...
research
∙
04/28/2023
Improve Video Representation with Temporal Adversarial Augmentation
Recent works reveal that adversarial augmentation benefits the generaliz...
research
∙
03/28/2023
Pre-training Transformers for Knowledge Graph Completion
Learning transferable representation of knowledge graphs (KGs) is challe...
research
∙
02/27/2023
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
Trajectory prediction for autonomous driving must continuously reason th...
research
∙
02/24/2023
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback
Large language models (LLMs), such as ChatGPT, are able to generate huma...
research
∙
02/15/2023
ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction
Predicting trajectories of pedestrians based on goal information in high...
research
∙
02/06/2023
Generating Evidential BEV Maps in Continuous Driving Space
Safety is critical for autonomous driving, and one aspect of improving s...
research
∙
02/03/2023
ShadowFormer: Global Context Helps Image Shadow Removal
Recent deep learning methods have achieved promising results in image sh...
research
∙
12/21/2022
Language Models as Inductive Reasoners
Inductive reasoning is a core component of human intelligence. In the pa...
research
∙
10/22/2022
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations
Deep learning models rely on highly optimized tensor libraries for effic...
research
∙
10/22/2022
Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge
We propose a novel open-domain question answering (ODQA) framework for a...
research
∙
10/11/2022
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering
Given its effectiveness on knowledge-intensive natural language processi...
research
∙
09/30/2022
Vertical Semi-Federated Learning for Efficient Online Advertising
As an emerging secure learning paradigm in leveraging cross-silo private...
research
∙
09/16/2022
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model
Trajectory prediction has been a long-standing problem in intelligent sy...
research
∙
08/30/2022
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
We present an efficient bi-encoder framework for named entity recognitio...
research
∙
07/02/2022
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions
In an information-seeking conversation, a user converses with an agent t...
research
∙
06/15/2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection
Detecting out-of-distribution (OOD) samples is crucial to the safe deplo...
research
∙
06/06/2022
An inverse random source problem for the Helium production-diffusion equation driven by a fractional Brownian motion
In this paper, we consider the prediction of the helium concentrations a...
research
∙
05/31/2022
Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer
As an emerging secure learning paradigm in leveraging cross-agency priva...
research
∙
05/24/2022
Unsupervised Learning of Hierarchical Conversation Structure
Human conversations can evolve in many different ways, creating challeng...
research
∙
05/20/2022
Visually-Augmented Language Modeling
Human language is grounded on multimodal knowledge including visual know...
research
∙
05/19/2022
Mitigating Neural Network Overconfidence with Logit Normalization
Detecting out-of-distribution inputs is critical for safe deployment of ...
research
∙
02/17/2022
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models
With the increasing of model capacity brought by pre-trained language mo...
research
∙
12/15/2021
Knowledge-Rich Self-Supervised Entity Linking
Entity linking faces significant challenges, such as prolific variations...
research
∙
12/15/2021
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing
Motivation: A perennial challenge for biomedical researchers and clinica...
research
∙
12/06/2021
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
Most of today's AI systems focus on using self-attention mechanisms and ...
research
∙
12/06/2021
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise
Noisy labels damage the performance of deep networks. For robust learnin...
research
∙
11/04/2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Most recent progress in natural language understanding (NLU) has been dr...
research
∙
11/01/2021
RMNet: Equivalently Removing Residual Connection from Networks
Although residual connection enables training very deep neural networks,...
research
∙
10/16/2021
Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text
Due to its potential for a universal interface over both data and text, ...
research
∙
09/26/2021
Disentangled Feature Representation for Few-shot Image Classification
Learning the generalizable feature representation is critical for few-sh...
research
∙
09/23/2021
Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving
Sharing collective perception messages (CPM) between vehicles is investi...
research
∙
09/15/2021
Dialogue State Tracking with a Language Model using Schema-Driven Prompting
Task-oriented conversational systems often use dialogue state tracking t...
research
∙
06/25/2021
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Information overload is a prevalent challenge in many high-value domains...
research
∙
06/15/2021
Leopard: Scaling BFT without Sacrificing Efficiency
With the emergence of large-scale decentralized applications, a scalable...
research
∙
06/11/2021
Improving Take-over Situation by Active Communication
In this short paper an idea is sketched, how to support drivers of an au...
research
∙
06/01/2021
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification
Recent image classification algorithms, by learning deep features from l...
research
∙
05/09/2021