Skip to content
conftrace_

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
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework ICML 2021 On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning NeurIPS 2021 On Positivity Bias in Negative Reviews ACL 2021 On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function COLT 2021 On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP ICML 2021 On Releasing Annotator-Level Labels and Information in Datasets EMNLP 2021 On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021 On Robustness and Transferability of Convolutional Neural Networks CVPR 2021 On Self-Supervised Image Representations for GAN Evaluation ICLR 2021 On sensitivity of meta-learning to support data NeurIPS 2021 On Statistical Bias In Active Learning: How and When to Fix It ICLR 2021 On Success and Simplicity: A Second Look at Transferable Targeted Attacks NeurIPS 2021 On the Algorithmic Stability of Adversarial Training NeurIPS 2021 On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text EACL 2021 On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games AAAI 2021 On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling EMNLP 2021 On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings EMNLP 2021 On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation EMNLP 2021 On the Cross-lingual Transferability of Contextualized Sense Embeddings EMNLP 2021 On the Design of Deep Priors for Unsupervised Audio Restoration Interspeech 2021 On the Difficulty of Membership Inference Attacks CVPR 2021 On the Difficulty of Segmenting Words with Attention EMNLP 2021 On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions EACL 2021 On the Effects of Transformer Size on In- and Out-of-Domain Calibration EMNLP 2021 On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ACL 2021