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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)

Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation AISTATS 2023 Align and Attend: Multimodal Summarization With Dual Contrastive Losses CVPR 2023 Aligning Bag of Regions for Open-Vocabulary Object Detection CVPR 2023 Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning ACL 2023 Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors ACL 2023 Aligning Language Models with Preferences through f-divergence Minimization ICML 2023 Aligning Step-by-Step Instructional Diagrams to Video Demonstrations CVPR 2023 Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models AAAI 2023 Alignment-free HDR Deghosting with Semantics Consistent Transformer ICCV 2023 Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models CVPR 2023 Alleviating Exposure Bias via Multi-level Contrastive Learning and Deviation Simulation in Abstractive Summarization ACL 2023 Alleviating Over-smoothing for Unsupervised Sentence Representation ACL 2023 All in One: Exploring Unified Video-Language Pre-Training CVPR 2023 All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations CVPR 2023 ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization CVPR 2023 A Low-Resource Pipeline for Text-to-Speech from Found Data With Application to Scottish Gaelic Interspeech 2023 ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation CVPR 2023 AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities ACL 2023 A Mask Free Neural Network for Monaural Speech Enhancement Interspeech 2023 Ambient Diffusion: Learning Clean Distributions from Corrupted Data NeurIPS 2023 Ambiguous Learning from Retrieval: Towards Zero-shot Semantic Parsing ACL 2023 A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information ACL 2023 AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification AAAI 2023 AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model ACL 2023 AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing ACL 2023