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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Mirror Learning: A Unifying Framework of Policy Optimisation ICML 2022 Mitigating Contradictions in Dialogue Based on Contrastive Learning ACL 2022 Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning EMNLP 2022 Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal ACL 2022 Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities EMNLP 2022 Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization ICML 2022 Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy NAACL 2022 Mix and Localize: Localizing Sound Sources in Mixtures CVPR 2022 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NeurIPS 2022 Mixed-effects transformers for hierarchical adaptation EMNLP 2022 Mixed Embedding of XLM for Unsupervised Cantonese-Chinese Neural Machine Translation (Student Abstract) AAAI 2022 Mixture-of-Experts with Expert Choice Routing NeurIPS 2022 Mixup regularization strategies for spoofing countermeasure system Interspeech 2022 MLP-3D: A MLP-Like 3D Architecture With Grouped Time Mixing CVPR 2022 MLSLT: Towards Multilingual Sign Language Translation CVPR 2022 mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models ACL 2022 MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences EMNLP 2022 MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract) AAAI 2022 MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities ACL 2022 MMNet: Muscle Motion-Guided Network for Micro-Expression Recognition IJCAI 2022 MMT: Multi-way Multi-modal Transformer for Multimodal Learning IJCAI 2022 MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation CVPR 2022 MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control NeurIPS 2022 MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective EMNLP 2022 Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification AAAI 2022