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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
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'25

Papers (including subtopics)

Learning to Sample with Local and Global Contexts in Experience Replay Buffer ICLR 2021 Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment CVPR 2021 Learning to Track Instances without Video Annotations CVPR 2021 Learning To Track Objects From Unlabeled Videos ICCV 2021 Learning To Warp for Style Transfer CVPR 2021 Learning Transferable Adversarial Perturbations NeurIPS 2021 Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training NeurIPS 2021 Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning NeurIPS 2021 Learning Universal Authorship Representations EMNLP 2021 Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization CVPR 2021 Learning with Algorithmic Supervision via Continuous Relaxations NeurIPS 2021 Learning with AMIGo: Adversarially Motivated Intrinsic Goals ICLR 2021 Learning with Instance Bundles for Reading Comprehension EMNLP 2021 Learning with Retrospection AAAI 2021 Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization AISTATS 2021 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Interspeech 2021 LeeBERT: Learned Early Exit for BERT with cross-level optimization ACL 2021 Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling CVPR 2021 Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension EMNLP 2021 `Less Than One'-Shot Learning: Learning N Classes From M < N Samples AAAI 2021 Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically EMNLP 2021 Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract) AAAI 2021 Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning NeurIPS 2021 Lexicon Learning for Few Shot Sequence Modeling ACL 2021 LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021