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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)

Maximal Sparsity with Deep Networks? NeurIPS 2016 MDL-CW: A Multimodal Deep Learning Framework With Cross Weights CVPR 2016 Mining Discriminative Triplets of Patches for Fine-Grained Classification CVPR 2016 MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild NeurIPS 2016 Modality and Component Aware Feature Fusion For RGB-D Scene Classification CVPR 2016 Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks Interspeech 2016 Motion From Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories CVPR 2016 MSR-VTT: A Large Video Description Dataset for Bridging Video and Language CVPR 2016 Multi-level Gated Recurrent Neural Network for dialog act classification COLING 2016 Multimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs COLING 2016 Multimodal Residual Learning for Visual QA NeurIPS 2016 Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation CVPR 2016 Multi-View Deep Network for Cross-View Classification CVPR 2016 NetVLAD: CNN Architecture for Weakly Supervised Place Recognition CVPR 2016 Neural Attention for Learning to Rank Questions in Community Question Answering COLING 2016 Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition Interspeech 2016 Newtonian Scene Understanding: Unfolding the Dynamics of Objects in Static Images CVPR 2016 Object based Scene Representations using Fisher Scores of Local Subspace Projections NeurIPS 2016 Object Contour Detection With a Fully Convolutional Encoder-Decoder Network CVPR 2016 Occlusion Boundary Detection via Deep Exploration of Context CVPR 2016 Online Collaborative Learning for Open-Vocabulary Visual Classifiers CVPR 2016 On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice AISTATS 2016 On Stacking Probabilistic Temporal Models with Bidirectional Information Flow PGM 2016 On the Appropriateness of Complex-Valued Neural Networks for Speech Enhancement Interspeech 2016 Optimizing affinity-based binary hashing using auxiliary coordinates NeurIPS 2016