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)
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
ICLR 2024
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators
ACL 2024
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers
SemEval 2024
Irish-based Large Language Model with Extreme Low-Resource Settings in Machine Translation
ACL 2024
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification
WACV 2024
Is artificial intelligence still intelligence? LLMs generalize to novel adjective-noun pairs, but don’t mimic the full human distribution
EMNLP 2024
Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs?
EMNLP 2024
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance?
NeurIPS 2024
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
ICLR 2024
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
EMNLP 2024
Is It Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models
COLING 2024
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions
NeurIPS 2024
Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks
COLING 2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
EMNLP 2024
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
NeurIPS 2024
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation
COLING 2024
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.
NeurIPS 2024
Is Programming by Example Solved by LLMs?
NeurIPS 2024
Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering
NAACL 2024
ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
AAAI 2024
Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks
COLING 2024
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
EMNLP 2024
Is Value Learning Really the Main Bottleneck in Offline RL?
NeurIPS 2024
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
AAAI 2024
ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps
ACL 2024