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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)

From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025 From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs ACL 2025 From Pretraining to Performance: Benchmarking Self-Supervised Speech Models for Interspeech-25 SER Challenge Interspeech 2025 From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning ACL 2025 From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding ACL 2025 From SALAMANDRA to SALAMANDRATA: BSC Submission for WMT25 General Machine Translation Shared Task EMNLP 2025 From Scarcity to Sufficiency: Speech Recognition Pipeline for Zero-resource Language Interspeech 2025 From Schema to State: Zero-Shot Scheme-Only Dialogue State Tracking via Diverse Synthetic Dialogue and Step-by-Step Distillation EMNLP 2025 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025 From Shortcuts to Balance: Attribution Analysis of Speech-Text Feature Utilization in Distinguishing Original from Machine-Translated Texts EMNLP 2025 From Slow Bidirectional to Fast Autoregressive Video Diffusion Models CVPR 2025 From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities ACL 2025 From Teacher to Student: Tracking Memorization Through Model Distillation ACL 2025 From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition EMNLP 2025 From Words to Waves: Analyzing Concept Formation in Speech and Text-Based Foundation Models Interspeech 2025 FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors CVPR 2025 FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning CVPR 2025 FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation AAAI 2025 FT-Boosted SV: Towards Noise Robust Speaker Verification for English Speaking Classroom Environments Interspeech 2025 FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method EMNLP 2025 Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning UAI 2025 Fully End-to-end Streaming Open-vocabulary Keyword Spotting with W-CTC Forced Alignment Interspeech 2025 Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier Interspeech 2025 Fully Test-time Adaptation for Tabular Data AAAI 2025 Functional Alignment Can Mislead: Examining Model Stitching ICML 2025