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

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526

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477

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1,314

2,083

3,689

4,652

5,914

6,826

8,201

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9,258

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2000

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Papers (including subtopics)

Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NeurIPS 2022 Uncertainty-Aware Representation Learning for Action Segmentation IJCAI 2022 Uncertainty Calibration for Deep Audio Classifiers Interspeech 2022 Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NeurIPS 2022 Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation AAAI 2022 Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation IJCAI 2022 Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition CVPR 2022 Uncertainty Modeling with Second-Order Transformer for Group Re-identification AAAI 2022 Uncertainty Quantification for Bayesian Optimization AISTATS 2022 Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022 Uncovering the Structural Fairness in Graph Contrastive Learning NeurIPS 2022 Uncovering Values: Detecting Latent Moral Content from Natural Language with Explainable and Non-Trained Methods ACL 2022 Under-bagging Nearest Neighbors for Imbalanced Classification JMLR 2022 Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding NAACL 2022 Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment NeurIPS 2022 Understanding and Improving Graph Injection Attack by Promoting Unnoticeability ICLR 2022 Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation NeurIPS 2022 Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering COLING 2022 Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training CVPR 2022 Understanding Benign Overfitting in Gradient-Based Meta Learning NeurIPS 2022 Understanding Contrastive Learning Requires Incorporating Inductive Biases ICML 2022 Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty NeurIPS 2022 Understanding Deep Contrastive Learning via Coordinate-wise Optimization NeurIPS 2022 Understanding Dimensional Collapse in Contrastive Self-supervised Learning ICLR 2022 Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond ICML 2022