AAAI 2022

1,624 papers

Minimally-Supervised Joint Learning of Event Volitionality and Subject Animacy Classification

Hirokazu Kiyomaru, Sadao Kurohashi

Dual Task Framework for Improving Persona-Grounded Dialogue Dataset

Minju Kim, Beong-woo Kwak, Youngwook Kim, Hong-in Lee, Seung-won Hwang

CAISE: Conversational Agent for Image Search and Editing

Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon, Franck Dernoncourt, Trung Bui

ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification

Hazel H. Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech

Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek

Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data

Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding

Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations

Aditya Kalyanpur, Tom Breloff, David A Ferrucci

Search and Learn: Improving Semantic Coverage for Data-to-Text Generation

Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou

Hierarchical Context Tagging for Utterance Rewriting

Lisa Jin, Linfeng Song, Lifeng Jin, Dong Yu, Daniel Gildea

XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge

Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan

Incorporating Constituent Syntax for Coreference Resolution

Fan Jiang, Trevor Cohn

Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference

Zixia Jia, Zhaohui Yan, Haoyi Wu, Kewei Tu

Towards Building ASR Systems for the Next Billion Users

Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh

Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge

Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son

Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation

Patrick Huber, Linzi Xing, Giuseppe Carenini

Word Level Robustness Enhancement: Fight Perturbation with Perturbation

Pei Huang, Yuting Yang, Fuqi Jia, Minghao Liu, Feifei Ma

Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision

Chenyang Huang, Hao Zhou, Osmar R. Zaiane, Lili Mou, Lei Li

BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents

Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam

Protecting Intellectual Property of Language Generation APIs with Lexical Watermark

Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection

Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao

Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation

Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tur

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training

Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein

Deep Clustering of Text Representations for Supervision-Free Probing of Syntax

Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan

Block-Skim: Efficient Question Answering for Transformer

Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng

SSAST: Self-Supervised Audio Spectrogram Transformer

Yuan Gong, Cheng-I Lai, Yu-An Chung, James Glass

Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss

Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan

Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory

Mengshi Ge, Rui Mao, Erik Cambria

ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs

Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin

AutoBERT-Zero: Evolving BERT Backbone from Scratch

Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu

UNISON: Unpaired Cross-Lingual Image Captioning

Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq Joty, Jiuxiang Gu

NAREOR: The Narrative Reordering Problem

Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard Hovy

Language Modelling via Learning to Rank

Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz

Language Model Priming for Cross-Lingual Event Extraction

Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee

Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models

Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis

Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov

Play the Shannon Game with Language Models: A Human-Free Approach to Summary Evaluation

Nicholas Egan, Oleg Vasilyev, John Bohannon

Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement

Yichao Du, Zhirui Zhang, Weizhi Wang, Boxing Chen, jun xie

Synthetic Disinformation Attacks on Automated Fact Verification Systems

Yibing Du, Antoine Bosselut, Christopher D. Manning

Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization

Zi-Yi Dou, Nanyun Peng

Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation

Poorav Desai, Tanmoy Chakraborty, Md Shad Akhtar

InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation

Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida

Flexible Instance-Specific Rationalization of NLP Models

George Chrysostomou, Nikolaos Aletras

Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning

Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang

C2L: Causally Contrastive Learning for Robust Text Classification

Seungtaek Choi, Myeongho Jeong, Hojae Han, Seung-won Hwang

On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets

Cheng-Han Chiang, Hung-yi Lee

Probing Linguistic Information for Logical Inference in Pre-trained Language Models

Zeming Chen, Qiyue Gao

From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension

Nuo Chen, Linjun Shou, Ming Gong, Jian Pei

ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification

Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification

Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen

Unsupervised Editing for Counterfactual Stories

Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao

Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation

Hanjie Chen, Yangfeng Ji

Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic

Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu

Diagnostics-Guided Explanation Generation

Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein

Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs

Berkeley R Andrus, Yeganeh Nasiri, Shilong Cui, Benjamin Cullen, Nancy Fulda

Cross-Modal Coherence for Text-to-Image Retrieval

Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic

Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies

Abdullah Albanyan, Eduardo Blanco

A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II)

Weijie Zheng, Yufei Liu, Benjamin Doerr

Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization

Hai-Tao Yu

DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems

Huan Xiong

Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback

Junxiong Wang, Debabrota Basu, Immanuel Trummer

Machine Learning for Online Algorithm Selection under Censored Feedback

Alexander Tornede, Viktor Bengs, Eyke Hüllermeier

A Novel Approach to Solving Goal-Achieving Problems for Board Games

Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei, I-Chen Wu

On Probabilistic Generalization of Backdoors in Boolean Satisfiability

Alexander Semenov, Artem Pavlenko, Daniil Chivilikhin, Stepan Kochemazov

Subset Approximation of Pareto Regions with Bi-objective A*

Nicolas Rivera, Jorge A. Baier, Carlos Hernández

Sparsification of Decomposable Submodular Functions

Akbar Rafiey, Yuichi Yoshida

A Fast Local Search Algorithm for the Latin Square Completion Problem

Shiwei Pan, Yiyuan Wang, Minghao Yin

Planning with Explanations for Finding Desired Meeting Points on Graphs

Keisuke Otaki

Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks

Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu, Chonggang Wang

Search Strategies for Topological Network Optimization

Michael D. Moffitt

PEA*+IDA*: An Improved Hybrid Memory-Restricted Algorithm

Frederico Messa, André Grahl Pereira

Improving Local Search Algorithms via Probabilistic Configuration Checking

Weilin Luo, Rongzhen Ye, Hai Wan, Shaowei Cai, Biqing Fang

Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval

Tieying Li, Xiaochun Yang, Bin Wang, Chong Xi, Hanzhong Zheng

Local and Global Convergence of General Burer-Monteiro Tensor Optimizations

Shuang Li, Qiuwei Li

MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search

Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig

Split Moves for Monte-Carlo Tree Search

Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik, Jakub Sutowicz, Marek Szykuła

PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection

Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff Bilmes, Rishabh Iyer

Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization

Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat

MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers

Elias B. Khalil, Christopher Morris, Andrea Lodi

Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube

Garrett E. Katz, Naveed Tahir

Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay

Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti

The Complexity of Temporal Vertex Cover in Small-Degree Graphs

Thekla Hamm, Nina Klobas, George B. Mertzios, Paul G. Spirakis

Learning from Mistakes – a Framework for Neural Architecture Search

Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric Xing

An Exact Algorithm with New Upper Bounds for the Maximum k-Defective Clique Problem in Massive Sparse Graphs

Jian Gao, Zhenghang Xu, Ruizhi Li, Minghao Yin

New Results in Bounded-Suboptimal Search

Maximilian Fickert, Tianyi Gu, Wheeler Ruml

Fourier Representations for Black-Box Optimization over Categorical Variables

Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das

NukCP: An Improved Local Search Algorithm for Maximum k-Club Problem

Jiejiang Chen, Yiyuan Wang, Shaowei Cai, Minghao Yin, Yupeng Zhou

A*+BFHS: A Hybrid Heuristic Search Algorithm

Zhaoxing Bu, Richard E. Korf

Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems

Yingjie Bi, Haixiang Zhang, Javad Lavaei

Efficient Optimal Transport Algorithm by Accelerated Gradient Descent

Dongsheng An, Na Lei, Xiaoyin Xu, Xianfeng Gu

Improving Bayesian Neural Networks by Adversarial Sampling

Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui XUE

Towards Robust Off-Policy Learning for Runtime Uncertainty

Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang

DeepStochLog: Neural Stochastic Logic Programming

Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt

Identifiability of Linear AMP Chain Graph Models

Yuhao Wang, Arnab Bhattacharyya

Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions

Yuanhong Wang, Timothy van Bremen, Yuyi Wang, Ondrej Kuzelka

Inference and Learning with Model Uncertainty in Probabilistic Logic Programs

Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt

On the Impact of Spurious Correlation for Out-of-Distribution Detection

Yifei Ming, Hang Yin, Yixuan Li

Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate

Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir N Shavit

A Complete Criterion for Value of Information in Soluble Influence Diagrams

Chris van Merwijk, Ryan Carey, Tom Everitt

Local Differential Privacy for Belief Functions

Qiyu Li, Chunlai Zhou, Biao Qin, Zhiqiang Xu

Robust Tests in Online Decision-Making

Gi-Soo Kim, Jane P Kim, Hyun-Joon Yang