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
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Papers (including subtopics)
Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards
UAI 2024
Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning
EACL 2024
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses
COLING 2024
BotEval: Facilitating Interactive Human Evaluation
ACL 2024
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence
ACL 2024
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation
MIDL 2024
Boundary Matters: A Bi-Level Active Finetuning Method
NeurIPS 2024
BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment
EMNLP 2024
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
NeurIPS 2024
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking
NeurIPS 2024
BrainLM: A foundation model for brain activity recordings
ICLR 2024
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-Weighted Brain MR Images
WACV 2024
BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets
ACL 2024
BrainWash: A Poisoning Attack to Forget in Continual Learning
CVPR 2024
Branch-GAN: Improving Text Generation with (not so) Large Language Models
ICLR 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
NeurIPS 2024
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale
EMNLP 2024
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
EMNLP 2024
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models
EMNLP 2024
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
NeurIPS 2024
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
NeurIPS 2024
Bridge the Modality and Capability Gaps in Vision-Language Model Selection
NeurIPS 2024
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
NeurIPS 2024
Bridging Child-Centered Speech Language Identification and Language Diarization via Phonetics
Interspeech 2024
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
ICML 2024