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)

Inverse Constrained Reinforcement Learning ICML 2021 Inverse Decision Modeling: Learning Interpretable Representations of Behavior ICML 2021 InverseForm: A Loss Function for Structured Boundary-Aware Segmentation CVPR 2021 InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion IJCAI 2021 Inverse Problems Leveraging Pre-trained Contrastive Representations NeurIPS 2021 Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021 Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021 Inverse-Weighted Survival Games NeurIPS 2021 Inverting Generative Adversarial Renderer for Face Reconstruction CVPR 2021 Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation NAACL 2021 Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion Interspeech 2021 Investigating label suggestions for opinion mining in German Covid-19 social media ACL 2021 Investigating Negation in Pre-trained Vision-and-language Models EMNLP 2021 Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model EMNLP 2021 Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering EMNLP 2021 Investigating Robustness of Dialog Models to Popular Figurative Language Constructs EMNLP 2021 Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI EMNLP 2021 Investigating vulnerabilities of deep neural policies UAI 2021 Investigation of IMU&Elevoc Submission for the Short-Duration Speaker Verification Challenge 2021 Interspeech 2021 Invisible Backdoor Attack With Sample-Specific Triggers ICCV 2021 Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect CVPR 2021 IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking CVPR 2021 IQDet: Instance-Wise Quality Distribution Sampling for Object Detection CVPR 2021 IQ-Learn: Inverse soft-Q Learning for Imitation NeurIPS 2021 IR-GAN: Room Impulse Response Generator for Far-Field Speech Recognition Interspeech 2021