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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)

RotoGrad: Gradient Homogenization in Multitask Learning ICLR 2022 RRL: Regional Rotate Layer in Convolutional Neural Networks AAAI 2022 RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning NeurIPS 2022 RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning CVPR 2022 RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators NAACL 2022 R-TeaFor: Regularized Teacher-Forcing for Abstractive Summarization EMNLP 2022 RvS: What is Essential for Offline RL via Supervised Learning? ICLR 2022 S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NeurIPS 2022 Safe Distillation Box AAAI 2022 Safe Self-Refinement for Transformer-Based Domain Adaptation CVPR 2022 SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning NeurIPS 2022 SAIDS: A Novel Approach for Sentiment Analysis Informed of Dialect and Sarcasm EMNLP 2022 SAIL: Self-Augmented Graph Contrastive Learning AAAI 2022 Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing AAAI 2022 Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? EMNLP 2022 Same Author or Just Same Topic? Towards Content-Independent Style Representations ACL 2022 Same State, Different Task: Continual Reinforcement Learning without Interference AAAI 2022 Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization NeurIPS 2022 Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation ICLR 2022 Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs AAAI 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic AAAI 2022 Samsung R&D Institute Poland Participation in WMT 2022 EMNLP 2022 Samsung Research Philippines - Datasaur AI’s Submission for the WMT22 Large Scale Multilingual Translation Task EMNLP 2022 SAQAM: Spatial Audio Quality Assessment Metric Interspeech 2022 SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection AAAI 2022