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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)

Effective post-training embedding compression via temperature control in contrastive training ICLR 2025 Effect of Loudspeaker Emitted Speech on ASR performance Interspeech 2025 Effect of Multilingual and Domain-adapted Continual Pre-training on Few-shot Promptability ACL 2025 Effects of Prosodic Information on Dialect Classification Using Whisper Features Interspeech 2025 Effects of Speaker Count, Duration, and Accent Diversity on Zero-Shot Accent Robustness in Low-Resource ASR Interspeech 2025 Efficient Active Imitation Learning with Random Network Distillation ICLR 2025 Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy ICCV 2025 Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection ACL 2025 Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models AISTATS 2025 Efficient and Versatile Model for Multilingual Information Retrieval of Islamic Text: Development and Deployment in Real-World Scenarios EMNLP 2025 Efficient Compositional Multi-tasking for On-device Large Language Models EMNLP 2025 Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive‐k EMNLP 2025 Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization ICML 2025 Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering Interspeech 2025 Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation AAAI 2025 Efficient Domain Continual pretraining by Mitigating the Stability Gap ACL 2025 Efficient Duple Perturbation Robustness in Low-rank MDPs L4DC 2025 Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach AAAI 2025 Efficient Event Camera Data Pretraining with Adaptive Prompt Fusion ICCV 2025 Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation ICCV 2025 EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models CVPR 2025 Efficient Long Context Language Model Retrieval with Compression ACL 2025 Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows AAAI 2025 Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity EMNLP 2025 Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention ACL 2025