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)
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
AAAI 2025
Robust Representation Consistency Model via Contrastive Denoising
ICLR 2025
Robust SAM: On the Adversarial Robustness of Vision Foundation Models
AAAI 2025
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels
AAAI 2025
Robust System Identification: Finite-sample Guarantees and Connection to Regularization
ICLR 2025
Robust Table Information Extraction from Sustainability Reports: A Time-Aware Hybrid Two-Step Approach
ACL 2025
Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior
ICCV 2025
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations
ICML 2025
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
ACL 2025
RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation
ICCV 2025
RoCS-MT v2 at WMT 2025: Robust Challenge Set for Machine Translation
EMNLP 2025
RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise
AAAI 2025
RoDEval: A Robust Word Sense Disambiguation Evaluation Framework for Large Language Models
EMNLP 2025
RoGSplat: Learning Robust Generalizable Human Gaussian Splatting from Sparse Multi-View Images
CVPR 2025
Role-Guided Annotation and Prototype-Aligned Representation Learning for Historical Literature Sentiment Classification
EMNLP 2025
Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context
ACL 2025
ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence
CVPR 2025
Romanized to Native Malayalam Script Transliteration Using an Encoder-Decoder Framework
COLING 2025
RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation
CVPR 2025
RORem: Training a Robust Object Remover with Human-in-the-Loop
CVPR 2025
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
EMNLP 2025
Rotation-Equivariant Self-Supervised Method in Image Denoising
CVPR 2025
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data
AISTATS 2025
RoToR: Towards More Reliable Responses for Order-Invariant Inputs
ACL 2025
RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs
NAACL 2025