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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Papers (including subtopics)

A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020 A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers ACL 2020 A DNN-HMM-DNN Hybrid Model for Discovering Word-Like Units from Spoken Captions and Image Regions Interspeech 2020 Adobe AMPS’s Submission for Very Low Resource Supervised Translation Task at WMT20 EMNLP 2020 A dual-encoding system for dialect classification COLING 2020 A Duality Approach for Regret Minimization in Average-Award Ergodic Markov Decision Processes L4DC 2020 Advancing Multiple Instance Learning with Attention Modeling for Categorical Speech Emotion Recognition Interspeech 2020 AdvAug: Robust Adversarial Augmentation for Neural Machine Translation ACL 2020 Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text ACL 2020 Adversarial Attack and Defense of Structured Prediction Models EMNLP 2020 Adversarial Attack on Deep Product Quantization Network for Image Retrieval AAAI 2020 Adversarial Attacks on Copyright Detection Systems ICML 2020 Adversarial Attacks on Deep Graph Matching NeurIPS 2020 Adversarial Attacks on Linear Contextual Bandits NeurIPS 2020 Adversarial Attacks on Probabilistic Autoregressive Forecasting Models ICML 2020 Adversarial Audio: A New Information Hiding Method Interspeech 2020 Adversarial Blocking Bandits NeurIPS 2020 Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles CVPR 2020 Adversarial Counterfactual Learning and Evaluation for Recommender System NeurIPS 2020 Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion NeurIPS 2020 Adversarial Deep Network Embedding for Cross-Network Node Classification AAAI 2020 Adversarial Defense based on Structure-to-Signal Autoencoders WACV 2020 Adversarial Dictionary Learning for Monaural Speech Enhancement Interspeech 2020 Adversarial Discriminative Attention for Robust Anomaly Detection WACV 2020 Adversarial Disentanglement with Grouped Observations AAAI 2020