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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)

Towards an Explainable Comparison and Alignment of Feature Embeddings ICML 2025 Towards atypical speech transcription using LLM-based ASR Interspeech 2025 Towards Automated Error Discovery: A Study in Conversational AI EMNLP 2025 Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards CVPR 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025 Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction AAAI 2025 Towards Bitrate-Efficient and Noise-Robust Speech Coding with Variable Bitrate RVQ Interspeech 2025 Towards Classification of Typical and Atypical Disfluencies: A Self Supervised Representation Approach Interspeech 2025 Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters CVPR 2025 Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach ACL 2025 Towards Controllable Speech Synthesis in the Era of Large Language Models: A Systematic Survey EMNLP 2025 Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models ICCV 2025 Towards Early Prediction of Self-Supervised Speech Model Performance Interspeech 2025 Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space AAAI 2025 Towards Effective Extraction and Evaluation of Factual Claims ACL 2025 Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning AAAI 2025 Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration ACL 2025 Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning AAAI 2025 Towards Efficiently Whisper Fine-tuning with Monotonic Alignments Interspeech 2025 Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification ICML 2025 Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction EMNLP 2025 Towards Fairness Assessment of Dutch Hate Speech Detection ACL 2025 Towards Fairness with Limited Demographics via Disentangled Learning IJCAI 2025