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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)

Fine-tuned RoBERTa Model with a CNN-LSTM Network for Conversational Emotion Recognition Interspeech 2023 Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models CVPR 2023 Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models ACL 2023 FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information ACL 2023 FIT BUT at SemEval-2023 Task 12: Sentiment Without Borders - Multilingual Domain Adaptation for Low-Resource Sentiment Classification SemEval 2023 Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation ACL 2023 Fix the Noise: Disentangling Source Feature for Controllable Domain Translation CVPR 2023 FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs CVPR 2023 Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023 Flexible 3D Lane Detection by Hierarchical Shape Matching AAAI 2023 Flexible Phase Dynamics for Bio-Plausible Contrastive Learning ICML 2023 FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023 FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping AAAI 2023 Flow Factorized Representation Learning NeurIPS 2023 FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation CVPR 2023 Flow Supervision for Deformable NeRF CVPR 2023 FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation ICLR 2023 FN-SSL: Full-Band and Narrow-Band Fusion for Sound Source Localization Interspeech 2023 FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space NeurIPS 2023 Focal Training and Tagger Decouple for Grammatical Error Correction ACL 2023 Focused and Collaborative Feedback Integration for Interactive Image Segmentation CVPR 2023 Focus on Details: Online Multi-Object Tracking With Diverse Fine-Grained Representation CVPR 2023 Focus Your Attention when Few-Shot Classification NeurIPS 2023 FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning AAAI 2023 Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders ICCV 2023