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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 Few-Shot Training-Free Anomaly Sound Detection Interspeech 2025 Towards General-Domain Word Sense Disambiguation: Distilling Large Language Model into Compact Disambiguator EMNLP 2025 Towards Generalizable Scene Change Detection CVPR 2025 Towards General-Purpose Model-Free Reinforcement Learning ICLR 2025 Towards General Visual-Linguistic Face Forgery Detection CVPR 2025 Towards Geo-Culturally Grounded LLM Generations ACL 2025 Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product ICCV 2025 Towards High-Quality LLM-Based Data for French Spontaneous Speech Simplification: an Exo-Refinement Approach Interspeech 2025 Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings ICLR 2025 Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages Interspeech 2025 Towards Infinite-Long Prefix in Transformer EMNLP 2025 Towards Learning High-Precision Least Squares Algorithms with Sequence Models ICLR 2025 Towards Learning to Complete Anything in Lidar ICML 2025 Towards LLM-Empowered Fine-Grained Speech Descriptors for Explainable Emotion Recognition Interspeech 2025 Towards LLM-powered Attentive Listener: A Pragmatic Approach through Quantity Self-Repair ACL 2025 Towards Loss-Resilient Image Coding for Unstable Satellite Networks AAAI 2025 Towards Machine Unlearning for Paralinguistic Speech Processing Interspeech 2025 Towards Memorization Estimation: Fast, Formal and Free ICML 2025 Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks CVPR 2025 Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision AAAI 2025 Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages ACL 2025 Towards Multi-Level Transcript Segmentation: LoRA Fine-Tuning for Table-of-Contents Generation Interspeech 2025 Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints AAAI 2025 Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark CVPR 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025