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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Papers (including subtopics)
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
ICLR 2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
NeurIPS 2024
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
NeurIPS 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
AAAI 2024
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants
AAAI 2024
Identifying and Mitigating Annotation Bias in Natural Language Understanding using Causal Mediation Analysis
ACL 2024
Identifying Causal Changes Between Linear Structural Equation Models
UAI 2024
Identifying Causal Effects Under Functional Dependencies
NeurIPS 2024
Identifying Copeland Winners in Dueling Bandits with Indifferences
AISTATS 2024
Identifying General Mechanism Shifts in Linear Causal Representations
NeurIPS 2024
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
UAI 2024
Identifying Narrative Patterns and Outliers in Holocaust Testimonies Using Topic Modeling
COLING 2024
Identifying Selections for Unsupervised Subtask Discovery
NeurIPS 2024
Identifying Semantic Induction Heads to Understand In-Context Learning
ACL 2024
Identifying Spatio-Temporal Drivers of Extreme Events
NeurIPS 2024
Identify Then Recommend: Towards Unsupervised Group Recommendation
NeurIPS 2024
IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation
NeurIPS 2024
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
CVPR 2024
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning
EMNLP 2024
If You Want to Be Robust, Be Wary of Initialization
NeurIPS 2024
ignore at SemEval-2024 Task 5: A Legal Classification Model with Summary Generation and Contrastive Learning
SemEval 2024
Ignore Me But Don’t Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain
NAACL 2024
iGraphMix: Input Graph Mixup Method for Node Classification
ICLR 2024
IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis
MIDL 2024
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models
NeurIPS 2024