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09/20/2023
Towards Data-centric Graph Machine Learning: Review and Outlook
Data-centric AI, with its primary focus on the collection, management, a...
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08/29/2023
Where Would I Go Next? Large Language Models as Human Mobility Predictors
Accurate human mobility prediction underpins many important applications...
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06/29/2023
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning
We propose a novel value approximation method, namely Eigensubspace Regu...
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06/25/2023
Enhancing Adversarial Training via Reweighting Optimization Trajectory
Despite the fact that adversarial training has become the de facto metho...
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05/30/2023
Dynamic Sparsity Is Channel-Level Sparsity Learner
Sparse training has received an upsurging interest in machine learning d...
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05/30/2023
Are Large Kernels Better Teachers than Transformers for ConvNets?
This paper reveals a new appeal of the recently emerged large-kernel Con...
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05/18/2023
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models
Warning: This paper contains content that may be offensive or upsetting....
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05/15/2023
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
In this study, we analyze NLG automatic metrics based on whether human e...
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05/06/2023
A Minimal Approach for Natural Language Action Space in Text-based Games
Text-based games (TGs) are language-based interactive environments for r...
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11/28/2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets
Recent works have impressively demonstrated that there exists a subnetwo...
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11/15/2022
A Survey for Efficient Open Domain Question Answering
Open domain question answering (ODQA) is a longstanding task aimed at an...
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10/27/2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack
We present Twin Answer Sentences Attack (TASA), an adversarial attack me...
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07/16/2022
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
Text-to-image person re-identification (ReID) aims to search for pedestr...
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07/04/2022
Discourse-Aware Graph Networks for Textual Logical Reasoning
Textual logical reasoning, especially question answering (QA) tasks with...
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05/30/2022
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training
Recent works on sparse neural network training (sparse training) have sh...
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05/22/2022
Phrase-level Textual Adversarial Attack with Label Preservation
Generating high-quality textual adversarial examples is critical for inv...
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04/21/2022
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics
Recent work incorporates pre-trained word embeddings such as BERT embedd...
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04/21/2022
A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation
Towards building intelligent dialogue agents, there has been a growing i...
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09/21/2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning
Deep reinforcement learning provides a promising approach for text-based...
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08/27/2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
The ability to detect Out-of-Domain (OOD) inputs has been a critical req...
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07/09/2021
Safe Exploration by Solving Early Terminated MDP
Safe exploration is crucial for the real-world application of reinforcem...
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07/01/2021
MHER: Model-based Hindsight Experience Replay
Solving multi-goal reinforcement learning (RL) problems with sparse rewa...
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03/26/2021
DAGN: Discourse-Aware Graph Network for Logical Reasoning
Recent QA with logical reasoning questions requires passage-level relati...
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03/02/2021
Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation
Dialogue generation models face the challenge of producing generic and r...
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12/24/2020
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
When answering a question, people often draw upon their rich world knowl...
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11/27/2020
TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game
StarCraft, one of the most difficult esport games with long-standing his...
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11/25/2020
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning
Competitive Self-Play (CSP) based Multi-Agent Reinforcement Learning (MA...
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10/22/2020
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
We study reinforcement learning (RL) for text-based games, which are int...
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10/16/2020
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
Imitation learning from observation (LfO) is more preferable than imitat...
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10/15/2020
Pretrained Language Models for Dialogue Generation with Multiple Input Sources
Large-scale pretrained language models have achieved outstanding perform...
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11/13/2019
Unsupervised Domain Adaptation on Reading Comprehension
Reading comprehension (RC) has been studied in a variety of datasets wit...
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09/10/2019
A Corpus-free State2Seq User Simulator for Task-oriented Dialogue
Recent reinforcement learning algorithms for task-oriented dialogue syst...
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07/26/2019
Learning to Solve a Rubik's Cube with a Dexterous Hand
We present a learning-based approach to solving a Rubik's cube with a mu...
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07/20/2019
Arena: a toolkit for Multi-Agent Reinforcement Learning
We introduce Arena, a toolkit for multi-agent reinforcement learning (MA...
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07/06/2019
Revisiting Metric Learning for Few-Shot Image Classification
The goal of few-shot learning is to recognize new visual concepts with j...
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04/10/2019
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering
Multi-hop reasoning question answering requires deep comprehension of re...
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09/09/2018
Towards Query Efficient Black-box Attacks: An Input-free Perspective
Recent studies have highlighted that deep neural networks (DNNs) are vul...
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05/02/2018
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues
In this paper, we comprehensively describe the methodology of our submis...
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08/08/2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Active learning aims to select a small subset of data for annotation suc...
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05/01/2017
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary
Cross-lingual model transfer is a compelling and popular method for pred...
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08/19/2016
Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering
Multi-view spectral clustering, which aims at yielding an agreement or c...
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07/05/2016