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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)

Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training CVPR 2023 SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem AAAI 2023 SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph AAAI 2023 Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases NeurIPS 2023 Spurious Valleys and Clustering Behavior of Neural Networks ICML 2023 Squeeze Training for Adversarial Robustness ICLR 2023 SRI-B’s Systems for IWSLT 2023 Dialectal and Low-resource Track: Marathi-Hindi Speech Translation ACL 2023 SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation AAAI 2023 SR-SRP: Super-Resolution based SRP-PHAT for Sound Source Localization and Tracking Interspeech 2023 SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning ICCV 2023 SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023 SSP: Self-Supervised Post-training for Conversational Search ACL 2023 Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning ICML 2023 StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners NeurIPS 2023 STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction AAAI 2023 Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking CVPR 2023 Stare at What You See: Masked Image Modeling Without Reconstruction CVPR 2023 Starting From Non-Parametric Networks for 3D Point Cloud Analysis CVPR 2023 State-Conditioned Adversarial Subgoal Generation AAAI 2023 Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning ICLR 2023 Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions ICLR 2023 Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis ICCV 2023 STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning ICCV 2023 Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning EMNLP 2023 SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF EMNLP 2023