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08/29/2023
Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System
This paper develops a Decentralized Multi-Agent Reinforcement Learning (...
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06/12/2023
Augmenting Language Models with Long-Term Memory
Existing large language models (LLMs) can only afford fix-sized inputs d...
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05/23/2023
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding
Scientific literature understanding tasks have gained significant attent...
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05/21/2023
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers
This paper explores the effectiveness of model-generated signals in impr...
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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...
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04/17/2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond
Backpropagation, the cornerstone of deep learning, is limited to computi...
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03/28/2023
Pre-training Transformers for Knowledge Graph Completion
Learning transferable representation of knowledge graphs (KGs) is challe...
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02/20/2023
Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements and Challenges
Radars are widely used to obtain echo information for effective predicti...
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12/21/2022
Language Models as Inductive Reasoners
Inductive reasoning is a core component of human intelligence. In the pa...
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12/15/2022
Efficient Long Sequence Modeling via State Space Augmented Transformer
Transformer models have achieved superior performance in various natural...
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10/31/2022
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
Standard fine-tuning of large pre-trained language models (PLMs) for dow...
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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...
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10/14/2022
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
Neural architecture search (NAS) has demonstrated promising results on i...
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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...
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09/06/2022
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection
Recent years have witnessed a trend of applying context frames to boost ...
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08/30/2022
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
Deep generative models (DGMs) are data-eager. Essentially, it is because...
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05/24/2022
AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models
Fine-tuning large-scale pre-trained language models to downstream tasks ...
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05/20/2022
Visually-Augmented Language Modeling
Human language is grounded on multimodal knowledge including visual know...
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04/13/2022
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals
We present an efficient method of pretraining large-scale autoencoding l...
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03/07/2022
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
Hyperparameter (HP) tuning in deep learning is an expensive process, pro...
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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...
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02/06/2022
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
Recent research has shown the existence of significant redundancy in lar...
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02/02/2022
Spectral and Energy Efficiency of DCO-OFDM in Visible Light Communication Systems with Finite-Alphabet Inputs
The bound of the information transmission rate of direct current biased ...
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01/29/2022
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
Knowledge distillation (KD) methods compress large models into smaller s...
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12/15/2021
Knowledge-Rich Self-Supervised Entity Linking
Entity linking faces significant challenges, such as prolific variations...
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12/15/2021
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing
Motivation: A perennial challenge for biomedical researchers and clinica...
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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 ...
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11/04/2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Most recent progress in natural language understanding (NLU) has been dr...
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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, ...
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10/12/2021
LiST: Lite Self-training Makes Efficient Few-shot Learners
We present a new method LiST for efficient fine-tuning of large pre-trai...
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10/08/2021
Taming Sparsely Activated Transformer with Stochastic Experts
Sparsely activated models (SAMs), such as Mixture-of-Experts (MoE), can ...
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09/24/2021
SEED: Semantic Graph based Deep detection for type-4 clone
Background: Type-4 clones refer to a pair of code snippets with similar ...
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09/15/2021
ARCH: Efficient Adversarial Regularized Training with Caching
Adversarial regularization can improve model generalization in many natu...
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09/03/2021
A multi-frequency sampling method for the inverse source problems with sparse measurements
We consider the inverse source problems with multi-frequency sparse near...
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08/16/2021
Robust Beamforming Design for Rate Splitting Multiple Access-Aided MISO Visible Light Communications
This paper addresses robust beamforming design for rate splitting multip...
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07/01/2021
Modified sampling method with near field measurements
This paper investigates the inverse scattering problems using sampling m...
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06/21/2021
Data completion algorithms and their applications in inverse acoustic scattering with limited-aperture backscattering data
We introduce two data completion algorithms for the limited-aperture pro...
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05/25/2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
The Lottery Ticket Hypothesis suggests that an over-parametrized network...
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04/12/2021
Targeted Adversarial Training for Natural Language Understanding
We present a simple yet effective Targeted Adversarial Training (TAT) al...
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04/11/2021
Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach
Adversarial training has been shown to improve the generalization perfor...
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04/10/2021
Unveiling personnel movement in a larger indoor area with a non-overlapping multi-camera system
Surveillance cameras are widely applied for indoor occupancy measurement...
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03/22/2021
ConfInLog: Leveraging Software Logs to Infer Configuration Constraints
Misconfigurations have become the dominant causes of software failures i...
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03/20/2021
Token-wise Curriculum Learning for Neural Machine Translation
Existing curriculum learning approaches to Neural Machine Translation (N...
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03/11/2021
Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources
Air pollution has altered the Earth radiation balance, disturbed the eco...
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02/23/2021
A discontinuous Galerkin method based on a hierarchical orthogonal basis for Lagrangian hydrodynamics on curvilinear grids
We present a new high-order accurate Lagrangian discontinuous Galerkin (...
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02/17/2021
DepOwl: Detecting Dependency Bugs to Prevent Compatibility Failures
Applications depend on libraries to avoid reinventing the wheel. Librari...
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01/01/2021
Reader-Guided Passage Reranking for Open-Domain Question Answering
Current open-domain question answering (QA) systems often follow a Retri...
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01/01/2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering
To date, most of recent work under the retrieval-reader framework for op...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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10/23/2020
