Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'20
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Papers (including subtopics)
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
ICLR 2024
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
ICLR 2024
Understanding Catastrophic Forgetting in Language Models via Implicit Inference
ICLR 2024
Understanding Dark Scenes by Contrasting Multi-Modal Observations
WACV 2024
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision
AAAI 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters
AISTATS 2024
Understanding Inverse Scaling and Emergence in Multitask Representation Learning
AISTATS 2024
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection
AAAI 2024
Understanding Model Selection for Learning in Strategic Environments
NeurIPS 2024
Understanding Pathologies of Deep Heteroskedastic Regression
UAI 2024
Understanding Players as if They Are Talking to the Game in a Customized Language: A Pilot Study
EMNLP 2024
Understanding prompt engineering may not require rethinking generalization
ICLR 2024
Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning
ACL 2024
Understanding the effects of language-specific class imbalance in multilingual fine-tuning
EACL 2024
Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark
ACL 2024
Understanding the Effects of RLHF on LLM Generalisation and Diversity
ICLR 2024
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
ICLR 2024
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
ICLR 2024
Understanding the Role of Equivariance in Self-supervised Learning
NeurIPS 2024
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
ICLR 2024
Underwater Organism Color Fine-Tuning via Decomposition and Guidance
AAAI 2024
Unexpected Phenomenon: LLMs’ Spurious Associations in Information Extraction
ACL 2024
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
AAAI 2024
Ungeneralizable Examples
CVPR 2024
UniADS: Universal Architecture-Distiller Search for Distillation Gap
AAAI 2024