Co-occurring keywords · papers mentioning both
Papers
MERIT: Learning Multi-level Representations on Temporal Graphs
IJCAI 2022
Meta-Learning Dynamics Forecasting Using Task Inference
NeurIPS 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
NeurIPS 2022
MetAug: Contrastive Learning via Meta Feature Augmentation
ICML 2022
MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation
EMNLP 2022
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
CVPR 2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
NeurIPS 2022
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
ACL 2022
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
EMNLP 2022
Mitigating the Inconsistency Between Word Saliency and Model Confidence with Pathological Contrastive Training
ACL 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
NeurIPS 2022
Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech
Interspeech 2022
m-Networks: Adapting the Triplet Networks for Acronym Disambiguation
NAACL 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
NeurIPS 2022
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion
EMNLP 2022
MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction
AAAI 2022
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
NeurIPS 2022
MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party Conversations
COLING 2022
Multi-Agent Concentrative Coordination with Decentralized Task Representation
IJCAI 2022
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach
AAAI 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
NeurIPS 2022
Multi-Granularity Structural Knowledge Distillation for Language Model Compression
ACL 2022
Multi-Head Deep Metric Learning Using Global and Local Representations
WACV 2022
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
NeurIPS 2022
Multi-Level Feature Learning for Contrastive Multi-View Clustering
CVPR 2022