Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
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'25
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