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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)

“splink” is happy and “phrouth” is scary: Emotion Intensity Analysis for Nonsense Words ACL 2022 SPOCK @ Causal News Corpus 2022: Cause-Effect-Signal Span Detection Using Span-Based and Sequence Tagging Models EMNLP 2022 SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer ACL 2022 SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022 Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation ICLR 2022 S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning NeurIPS 2022 SSAST: Self-Supervised Audio Spectrogram Transformer AAAI 2022 SSN_ARMM@ LT-EDI -ACL2022: Hope Speech Detection for Equality, Diversity, and Inclusion Using ALBERT model ACL 2022 SSNCSE_NLP@LT-EDI-ACL2022: Speech Recognition for Vulnerable Individuals in Tamil using pre-trained XLSR models ACL 2022 SSNCSE NLP@TamilNLP-ACL2022: Transformer based approach for detection of abusive comment for Tamil language ACL 2022 SSN@LT-EDI-ACL2022: Transfer Learning using BERT for Detecting Signs of Depression from Social Media Texts ACL 2022 Stability Analysis and Generalization Bounds of Adversarial Training NeurIPS 2022 ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning NeurIPS 2022 STaR: Bootstrapping Reasoning With Reasoning NeurIPS 2022 State-Aware Adversarial Training for Utterance-Level Dialogue Generation EMNLP 2022 State Deviation Correction for Offline Reinforcement Learning AAAI 2022 State & Trait Measurement from Nonverbal Vocalizations: A Multi-Task Joint Learning Approach Interspeech 2022 STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction AAAI 2022 STEM: Unsupervised STructural EMbedding for Stance Detection AAAI 2022 StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts AAAI 2022 Step-unrolled Denoising Autoencoders for Text Generation ICLR 2022 Stereo Depth From Events Cameras: Concentrate and Focus on the Future CVPR 2022 ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation CVPR 2022 Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning ICML 2022 Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification ICML 2022