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)
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
NeurIPS 2024
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback
ACL 2024
LLMs Can Evolve Continually on Modality for X-Modal Reasoning
NeurIPS 2024
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives
EMNLP 2024
LLMSegm: Surface-level Morphological Segmentation Using Large Language Model
COLING 2024
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
ACL 2024
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
EMNLP 2024
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction
ACL 2024
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
ICLR 2024
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
EMNLP 2024
LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
AAAI 2024
L+M-24: Building a Dataset for Language+Molecules @ ACL 2024
ACL 2024
LM2: A Simple Society of Language Models Solves Complex Reasoning
EMNLP 2024
LMD: Faster Image Reconstruction with Latent Masking Diffusion
AAAI 2024
LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection
SemEval 2024
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
NAACL 2024
LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI
SemEval 2024
Local and Adaptive Mirror Descents in Extensive-Form Games
NeurIPS 2024
Local and Global Decoding in Text Generation
EMNLP 2024
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
NeurIPS 2024
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
UAI 2024
Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding
AAAI 2024
Local Graph Clustering with Noisy Labels
ICLR 2024
Localisation of Regularised and Multiview Support Vector Machine Learning
JMLR 2024
Localised Natural Causal Learning Algorithms for Weak Consistency Conditions
UAI 2024