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)
Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing
ACL 2024
Tree-of-Counterfactual Prompting for Zero-Shot Stance Detection
ACL 2024
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
AAAI 2024
Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation
AAAI 2024
Trends, Applications, and Challenges in Human Attention Modelling
IJCAI 2024
T-Rep: Representation Learning for Time Series using Time-Embeddings
ICLR 2024
TriageAgent: Towards Better Multi-Agents Collaborations for Large Language Model-Based Clinical Triage
EMNLP 2024
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents
ACL 2024
TriCoLo: Trimodal Contrastive Loss for Text To Shape Retrieval
WACV 2024
Tri-Modal Motion Retrieval by Learning a Joint Embedding Space
CVPR 2024
Triple-Encoders: Representations That Fire Together, Wire Together
ACL 2024
Triplet Attention Transformer for Spatiotemporal Predictive Learning
WACV 2024
Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
CVPR 2024
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning
NAACL 2024
TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning
EMNLP 2024
Trusted Multi-view Learning with Label Noise
IJCAI 2024
Trusted re-weighting for label distribution learning
UAI 2024
Trustworthy Machine Learning under Imperfect Data
IJCAI 2024
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models
EMNLP 2024
TSP-TTS: Text-based Style Predictor with Residual Vector Quantization for Expressive Text-to-Speech
Interspeech 2024
TSU HITS’s Submissions to the WMT 2024 General Machine Translation Shared Task
EMNLP 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples
AAAI 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
NeurIPS 2024
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
CVPR 2024
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
NeurIPS 2024