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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)

An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation Interspeech 2021 An Improved Wav2Vec 2.0 Pre-Training Approach Using Enhanced Local Dependency Modeling for Speech Recognition Interspeech 2021 An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language Identification EMNLP 2021 An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis EMNLP 2021 Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification NAACL 2021 Annotating Online Misogyny ACL 2021 A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles AAAI 2021 A Novel Wikipedia based Dataset for Monolingual and Cross-Lingual Summarization EMNLP 2021 Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction ACL 2021 Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation CVPR 2021 Anti-Backdoor Learning: Training Clean Models on Poisoned Data NeurIPS 2021 Anticipating Future Relations via Graph Growing for Action Prediction AAAI 2021 An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages EMNLP 2021 An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information AAAI 2021 ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task ACL 2021 Anycost GANs for Interactive Image Synthesis and Editing CVPR 2021 A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts CVPR 2021 A Permutation-Equivariant Neural Network Architecture For Auction Design AAAI 2021 APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing EMNLP 2021 Appearance-Motion Memory Consistency Network for Video Anomaly Detection AAAI 2021 Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021 Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval ICLR 2021 Approximation Algorithms for Socially Fair Clustering COLT 2021 A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups ICML 2021 A Prototype-Oriented Framework for Unsupervised Domain Adaptation NeurIPS 2021