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
'20
'25
Papers (including subtopics)
Bootstrapping AI: Interdisciplinary Approaches to Assessing OCR Quality in English-Language Historical Documents
NAACL 2025
Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations
CVPR 2025
Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
MLHC 2025
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System
AAAI 2025
Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM
EMNLP 2025
BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle
ACL 2025
Boundary-Aware Refinement with Environment-Robust Adapter Tuning for Underwater Instance Segmentation
ACML 2025
BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
ACL 2025
BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation
ACL 2025
Brain-tuned Speech Models Better Reflect Speech Processing Stages in the Brain
Interspeech 2025
BR-ASR: Efficient and Scalable Bias Retrieval Framework for Contextual Biasing ASR in Speech LLM
Interspeech 2025
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
AAAI 2025
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking
AAAI 2025
Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation
Interspeech 2025
Breaking the Attention Trap in Code LLMs: A Rejection Sampling Approach to Enhance Code Execution Prediction
EMNLP 2025
Breaking the Noise Barrier: LLM-Guided Semantic Filtering and Enhancement for Multi-Modal Entity Alignment
EMNLP 2025
Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution
ACL 2025
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment
AAAI 2025
Bridge-Coder: Transferring Model Capabilities from High-Resource to Low-Resource Programming Language
ACL 2025
Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities
AAAI 2025
Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
CVPR 2025
Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation
AAAI 2025
Bridging 3D Anomaly Localization and Repair via High-Quality Continuous Geometric Representation
ICCV 2025
Bridging ASR and LLMs for Dysarthric Speech Recognition: Benchmarking Self-Supervised and Generative Approaches
Interspeech 2025
Bridging Domains with Approximately Shared Features
AISTATS 2025