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Learning Types

32,670 papers (1 classified directly here)

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)
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Papers (including subtopics)

Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention ACL 2025 Learning to Quantize for Training Vector-Quantized Networks ICML 2025 Learning to Reason from Feedback at Test-Time ACL 2025 Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models ACL 2025 Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning AAAI 2025 Learning to Rewrite: Generalized LLM-Generated Text Detection ACL 2025 Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation CVPR 2025 Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction EMNLP 2025 Learning to Visually Connect Actions and their Effects WACV 2025 Learning Trajectories of Figurative Language for Pre-Trained Language Models EMNLP 2025 Learning View-invariant World Models for Visual Robotic Manipulation ICLR 2025 Learning Vision and Language Concepts for Controllable Image Generation ICML 2025 Learning Visual Generative Priors without Text CVPR 2025 Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition WACV 2025 Learning Visual-Semantic Subspace Representations AISTATS 2025 Learning Word Embeddings from Glosses: A Multi-Loss Framework for Arabic Reverse Dictionary Tasks EMNLP 2025 Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement ICCV 2025 Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory ACL 2025 Learnware Specification via Label-Aware Neural Embedding AAAI 2025 LEAVES: Learning Views for Time-Series Biobehavioral Data in Contrastive Learning MLHC 2025 LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint ACL 2025 Legitimate ground-truth-free metrics for deep uncertainty classification scoring AISTATS 2025 LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors EMNLP 2025 Lemmatisation & Morphological Analysis of Unedited Greek: Do Simple Tasks Need Complex Solutions? ACL 2025 LEMoN: Label Error Detection using Multimodal Neighbors ICML 2025