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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'15
'20
'25
Papers (including subtopics)
The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models
EMNLP 2024
The ALℓ_0CORE Tensor Decomposition for Sparse Count Data
AISTATS 2024
The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
NeurIPS 2024
The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective
CVPR 2024
The Background Also Matters: Background-Aware Motion-Guided Objects Discovery
WACV 2024
The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese
EACL 2024
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance
EMNLP 2024
The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline
NAACL 2024
The Benefits of Balance: From Information Projections to Variance Reduction
NeurIPS 2024
The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits
COLT 2024
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
EMNLP 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection
NeurIPS 2024
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance
ACL 2024
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
NeurIPS 2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
AAAI 2024
The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal
EMNLP 2024
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
NeurIPS 2024
The complexity of non-stationary reinforcement learning
ALT 2024
The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases
EMNLP 2024
The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication
ACL 2024
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
ACL 2024
The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective
EMNLP 2024
The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models
ICLR 2024
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization
NeurIPS 2024
The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning
ACL 2024