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Extracting generalized and robust representations is a major challenge in emotion recognition in conversations (ERC).
RoBERTa: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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IEMOCAP: Interactive emotional dyadic motion capture database
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Visualizing data using t-sne
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Intriguing properties of neural networks
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Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy. 2015 · 2015
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T test as a parametric statistic
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Adam: A method for stochastic optimization
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Improved deep metric learning with multi-class n-pair loss objective
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David A. Wagner. 2017 · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, and Piotr Dollár. 2017 · 2017
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Adversarial training methods for semi-supervised text classification
Takeru Miyato, Andrew M. Dai, and Ian J. Goodfellow. 2017 · 2017
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Context-dependent sentiment analysis in user-generated videos
Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, and Louis-Philippe Morency. 2017 · 2017
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ICON: Interactive conversational memory network for multimodal emotion detection
Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, and Roger Zimmermann. 2018a · 2018
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Conversational memory network for emotion recognition in dyadic dialogue videos
Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, and Roger Zimmermann. 2018b · 2018
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Representation learning with contrastive predictive coding
Aäron van den Oord, Yazhe Li, and Oriol Vinyals. 2018 · 2018
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Emotion detection on TV show transcripts with sequence-based convolutional neural networks
Sayyed M. Zahiri and Jinho D. Choi. 2018 · 2018
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Learning representations by maximizing mutual information across views
Philip Bachman, R. Devon Hjelm, and William Buchwalter. 2019 · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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DialogueGCN: A graph convolutional neural network for emotion recognition in conversation
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, and Alexander F. Gelbukh. 2019 · 2019
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DialogueRNN: An attentive RNN for emotion detection in conversations
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, and Erik Cambria. 2019 · 2019
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MELD: a multimodal multi-party dataset for emotion recognition in conversations
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, and Rada Mihalcea. 2019a · 2019
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Adversarial robustness through local linearization
Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, and Pushmeet Kohli. 2019 · 2019
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Adversarial training for free!
Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, and Tom Goldstein. 2019 · 2019
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You only propagate once: Accelerating adversarial training via maximal principle
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, and Bin Dong. 2019a · 2019
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Modeling both context- and speaker-sensitive dependence for emotion detection in multi-speaker conversations
Dong Zhang, Liangqing Wu, Changlong Sun, Shoushan Li, Qiaoming Zhu, and Guodong Zhou. 2019b · 2019
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Dissecting supervised constrastive learning
Florian Graf, Christoph D. Hofer, Marc Niethammer, and Roland Kwitt. 2021 · 2021
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Supervised contrastive learning for pre-trained language model fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau, and Veselin Stoyanov. 2021 · 2021
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DialogueCRN: Contextual reasoning networks for emotion recognition in conversations
Dou Hu, Lingwei Wei, and Xiaoyong Huai. 2021a · 2021
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MMGCN: Multimodal fusion via deep graph convolution network for emotion recognition in conversation
Jingwen Hu, Yuchen Liu, Jinming Zhao, and Qin Jin. 2021b · 2021
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Graph based network with contextualized representations of turns in dialogue
Bongseok Lee and Yong Suk Choi. 2021 · 2021
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Knowledge-enriched transformer for emotion detection in textual conversations
Peixiang Zhong, Di Wang, and Chunyan Miao. 2019 · 2019
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A span-based joint model for opinion target extraction and target sentiment classification
Yan Zhou, Longtao Huang, Tao Guo, Jizhong Han, and Songlin Hu. 2019 · 2019
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020 · 2020
Cited alongside, same era.
COSMIC: Commonsense knowledge for emotion identification in conversations
Deepanway Ghosal, Navonil Majumder, Alexander F. Gelbukh, Rada Mihalcea, and Soujanya Poria. 2020 · 2020
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Data-efficient image recognition with contrastive predictive coding
Olivier J. Hénaff. 2020 · 2020
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Relation-aware graph attention networks with relational position encodings for emotion recognition in conversations
Taichi Ishiwatari, Yuki Yasuda, Taro Miyazaki, and Jun Goto. 2020 · 2020
Cited alongside, same era.
SMART: Robust and efficient fine-tuning for pre-trained natural language models through principled regularized optimization
Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, and Tuo Zhao. 2020a · 2020
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Jiangnan Li, Zheng Lin, Peng Fu, and Weiping Wang. 2021a · 2021
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Prototypical contrastive learning of unsupervised representations
Junnan Li, Pan Zhou, Caiming Xiong, and Steven C. H. Hoi. 2021b · 2021
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DialogXL: all-in-one xlnet for multi-party conversation emotion recognition
Weizhou Shen, Junqing Chen, Xiaojun Quan, and Zhixian Xie. 2021a · 2021
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Directed acyclic graph network for conversational emotion recognition
Weizhou Shen, Siyue Wu, Yunyi Yang, and Xiaojun Quan. 2021b · 2021
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Contrastive learning based hybrid networks for long-tailed image classification
Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, and Lei Wang. 2021 · 2021
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Topic-driven and knowledge-aware transformer for dialogue emotion detection
Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, and Yulan He. 2021 · 2021
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Speaker-guided encoder-decoder framework for emotion recognition in conversation
Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, and Songlin Hu. 2022 · 2022
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VarMAE: Pre-training of variational masked autoencoder for domain-adaptive language understanding
Dou Hu, Xiaolong Hou, Xiyang Du, Mengyuan Zhou, Lianxin Jiang, Yang Mo, and Xiaofeng Shi. 2022a · 2022
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MM-DFN: Multimodal dynamic fusion network for emotion recognition in conversations
Dou Hu, Xiaolong Hou, Lingwei Wei, Lian-Xin Jiang, and Yang Mo. 2022b · 2022
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PALI-NLP at SemEval-2022 Task 4: Discriminative fine-tuning of transformers for patronizing and condescending language detection
Dou Hu, Mengyuan Zhou, Xiyang Du, Mengfei Yuan, Jin Zhi, Lian-Xin Jiang, Yang Mo, and Xiaofeng Shi. 2022c · 2022
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CoMPM: Context modeling with speaker’s pre-trained memory tracking for emotion recognition in conversation
Joosung Lee and Wooin Lee. 2022 · 2022
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Contrast and generation make BART a good dialogue emotion recognizer
Shimin Li, Hang Yan, and Xipeng Qiu. 2022a · 2022
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AMOA: global acoustic feature enhanced modal-order-aware network for multimodal sentiment analysis
Ziming Li, Yan Zhou, Weibo Zhang, Yaxin Liu, Chuanpeng Yang, Zheng Lian, and Songlin Hu. 2022b · 2022
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Detect rumors in microblog posts for low-resource domains via adversarial contrastive learning
Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, and Guang Chen. 2022 · 2022
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Supervised contrastive learning over prototype-label embeddings for network intrusion detection
Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, and Belén Carro. 2022 · 2022
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Supervised prototypical contrastive learning for emotion recognition in conversation
Xiaohui Song, Longtao Huang, Hui Xue, and Songlin Hu. 2022 · 2022
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Hybrid curriculum learning for emotion recognition in conversation
Lin Yang, Yi Shen, Yue Mao, and Longjun Cai. 2022 · 2022
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CauAIN: Causal aware interaction network for emotion recognition in conversations
Weixiang Zhao, Yanyan Zhao, and Xin Lu. 2022 · 2022
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