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)
A Self-explaining Neural Architecture for Generalizable Concept Learning
IJCAI 2024
A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation
IJCAI 2024
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint
CVPR 2024
A Separation and Alignment Framework for Black-Box Domain Adaptation
AAAI 2024
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
NeurIPS 2024
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings
EMNLP 2024
ASGIR: audio spectrogram transformer guided classification and information retrieval for birds
Interspeech 2024
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
AISTATS 2024
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
ACL 2024
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T^2/3) and its Application to Best-of-Both-Worlds
NeurIPS 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
AAAI 2024
A Simple Angle-based Approach for Contrastive Learning of Unsupervised Sentence Representation
EMNLP 2024
A Simple Image Segmentation Framework via In-Context Examples
NeurIPS 2024
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
CVPR 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
NeurIPS 2024
Ask Again, Then Fail: Large Language Models’ Vacillations in Judgment
ACL 2024
Ask, Assess, and Refine: Rectifying Factual Consistency and Hallucination in LLMs with Metric-Guided Feedback Learning
EACL 2024
Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
NeurIPS 2024
Asking More Informative Questions for Grounded Retrieval
NAACL 2024
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
EACL 2024
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles
EMNLP 2024
Aspect-based Key Point Analysis for Quantitative Summarization of Reviews
EACL 2024
Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses
EACL 2024
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
EACL 2024
Assessing “Implicit” Retrieval Robustness of Large Language Models
EMNLP 2024