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)
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
ACL 2024
How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space
ACML 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
NeurIPS 2024
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?
EACL 2024
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?
EMNLP 2024
How Do Humans Write Code? Large Models Do It the Same Way Too
EMNLP 2024
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
NeurIPS 2024
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
EMNLP 2024
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data
EMNLP 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
EMNLP 2024
How Far Can We Compress Instant-NGP-Based NeRF?
CVPR 2024
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics
EMNLP 2024
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
NeurIPS 2024
How Learning by Reconstruction Produces Uninformative Features For Perception
ICML 2024
How many classifiers do we need?
NeurIPS 2024
How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models
EMNLP 2024
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering
ACL 2024
How to Configure Good In-Context Sequence for Visual Question Answering
CVPR 2024
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection
AAAI 2024
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks
UAI 2024
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
EMNLP 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
AAAI 2024
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models
EMNLP 2024
How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection
EMNLP 2024
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
CVPR 2024