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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Mitigating Artifacts in Real-World Video Super-resolution Models AAAI 2023 Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation EMNLP 2023 Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation EMNLP 2023 Mitigating Memorization of Noisy Labels via Regularization between Representations ICLR 2023 Mitigating Negative Style Transfer in Hybrid Dialogue System AAAI 2023 Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation ACL 2023 MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies ACL 2023 Mixed Autoencoder for Self-Supervised Visual Representation Learning CVPR 2023 MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction EMNLP 2023 Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation NeurIPS 2023 MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers CVPR 2023 MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction ACL 2023 MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering CVPR 2023 Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling AAAI 2023 Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models’ Memories ACL 2023 Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models EMNLP 2023 Mixture of Soft Prompts for Controllable Data Generation EMNLP 2023 Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning AAAI 2023 ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding ACL 2023 ML-SUPERB: Multilingual Speech Universal PERformance Benchmark Interspeech 2023 MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency CVPR 2023 MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation ACL 2023 MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition CVPR 2023 MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering EMNLP 2023 MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System ACL 2023