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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)

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit ACL 2025 The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT EMNLP 2025 The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation ACL 2025 The Gemma Sutras: Fine-Tuning Gemma 3 for Sanskrit Sandhi Splitting EMNLP 2025 The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning EMNLP 2025 The Hidden Attention of Mamba Models ACL 2025 The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference ICML 2025 The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It ACL 2025 The Impact of Language Mixing on Bilingual LLM Reasoning EMNLP 2025 The Impossibility of Fair LLMs ACL 2025 The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models ICCV 2025 The Knowledge Microscope: Features as Better Analytical Lenses than Neurons ACL 2025 The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion CVPR 2025 The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD ICLR 2025 The Master Key Filters Hypothesis: Deep Filters Are General AAAI 2025 The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure EMNLP 2025 The Missing Parts: Augmenting Fact Verification with Half Truth Detection EMNLP 2025 The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction ICML 2025 TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding ACL 2025 Theorem Prover as a Judge for Synthetic Data Generation ACL 2025 Theorem-Validated Reverse Chain-of-Thought Problem Generation for Geometric Reasoning EMNLP 2025 Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization IJCAI 2025 Theory of Agreement-on-the-Line in Linear Models and Gaussian Data AISTATS 2025 The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique Like Photographers CVPR 2025 The Power of Simplicity in LLM-Based Event Forecasting ACL 2025