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)
The Balanced-Pairwise-Affinities Feature Transform
ICML 2024
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
EMNLP 2024
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
NeurIPS 2024
The Data Addition Dilemma
MLHC 2024
The data-driven transferable adversarial space
ACML 2024
The Devil is in the Fine-Grained Details: Evaluating Open-Vocabulary Object Detectors for Fine-Grained Understanding
CVPR 2024
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization
NeurIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
NeurIPS 2024
The Effective Number of Shared Dimensions Between Paired Datasets
AISTATS 2024
The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations
EMNLP 2024
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
NeurIPS 2024
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention
EMNLP 2024
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities
ACL 2024
The GAN is dead; long live the GAN! A Modern GAN Baseline
NeurIPS 2024
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models
ACL 2024
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
ACL 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
NeurIPS 2024
The Impact of Language Adapters in Cross-Lingual Transfer for NLU
EACL 2024
The Impact of Reasoning Step Length on Large Language Models
ACL 2024
The Instinctive Bias: Spurious Images lead to Illusion in MLLMs
EMNLP 2024
The Inter-batch Diversity of Samples in Experience Replay for Continual Learning
AAAI 2024
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI
EMNLP 2024
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
ICLR 2024
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification
EMNLP 2024
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
NeurIPS 2024