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
'25
Papers (including subtopics)
Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras
NeurIPS 2024
Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech
Interspeech 2024
Speaker Change Detection with Weighted-sum Knowledge Distillation based on Self-supervised Pre-trained Models
Interspeech 2024
Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator
Interspeech 2024
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
AAAI 2024
SpeAr: A Spectral Approach for Zero-Shot Node Classification
NeurIPS 2024
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models
IJCAI 2024
SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning
EMNLP 2024
Specializing Self-Supervised Speech Representations for Speaker Segmentation
Interspeech 2024
Spectral-Based Graph Neural Networks for Complementary Item Recommendation
AAAI 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes
NeurIPS 2024
Spectrally Transformed Kernel Regression
ICLR 2024
Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
AAAI 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees
NeurIPS 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers
AISTATS 2024
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile
AAAI 2024
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism
ACL 2024
Speculative Monte-Carlo Tree Search
NeurIPS 2024
Speech After Gender: A Trans-Feminine Perspective on Next Steps for Speech Science and Technology
Interspeech 2024
Speech Analysis of Language Varieties in Italy
COLING 2024
Speech Emotion Recognition with Multi-level Acoustic and Semantic Information Extraction and Interaction
Interspeech 2024
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection
NeurIPS 2024
Speech Recognition Corpus of the Khinalug Language for Documenting Endangered Languages
COLING 2024
Speech Recognition Models are Strong Lip-readers
Interspeech 2024
Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
ICML 2024