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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)

SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique ACML 2021 SpecRec: An Alternative Solution for Improving End-to-End Speech-to-Text Translation via Spectrogram Reconstruction Interspeech 2021 Speech2Video: Cross-Modal Distillation for Speech to Video Generation Interspeech 2021 Speech Emotion Recognition via Multi-Level Cross-Modal Distillation Interspeech 2021 Speech Enhancement with Weakly Labelled Data from AudioSet Interspeech 2021 Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021 Interspeech 2021 Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis EMNLP 2021 SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition AAAI 2021 Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network AAAI 2021 Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions CVPR 2021 Spot the Difference: Detection of Topological Changes via Geometric Alignment NeurIPS 2021 SPSG: Self-Supervised Photometric Scene Generation From RGB-D Scans CVPR 2021 SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection NeurIPS 2021 SSH: A Self-Supervised Framework for Image Harmonization ICCV 2021 SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification AAAI 2021 ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection CVPR 2021 Stable Adversarial Learning under Distributional Shifts AAAI 2021 Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks NeurIPS 2021 Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders ACL 2021 Stage-wise Fine-tuning for Graph-to-Text Generation ACL 2021 Stance Detection in COVID-19 Tweets ACL 2021 STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media EMNLP 2021 StarGANv2-VC: A Diverse, Unsupervised, Non-Parallel Framework for Natural-Sounding Voice Conversion Interspeech 2021 StarGAN-VC+ASR: StarGAN-Based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition Interspeech 2021 StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021