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Core AI

68,645 papers (13 classified directly here)

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)
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Papers (including subtopics)

Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation ICLR 2022 Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines EMNLP 2022 Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios ICLR 2022 PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding NAACL 2022 PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning IJCAI 2022 Practical Benefits of Feature Feedback Under Distribution Shift EMNLP 2022 Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack CVPR 2022 Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs AAAI 2022 Practical uncertainty quantification for brain tumor segmentation MIDL 2022 Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers NAACL 2022 Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments NeurIPS 2022 Pre-activation Distributions Expose Backdoor Neurons NeurIPS 2022 Predicting Emotional Intensity in Political Debates via Non-verbal Signals Interspeech 2022 Predicting Fine-Tuning Performance with Probing EMNLP 2022 Predicting Moments of Mood Changes Overtime from Imbalanced Social Media Data NAACL 2022 Predicting Out-of-Distribution Error with the Projection Norm ICML 2022 Predicting pairwise preferences between TTS audio stimuli using parallel ratings data and anti-symmetric twin neural networks Interspeech 2022 Predicting Physical World Destinations for Commands Given to Self-Driving Cars AAAI 2022 Predicting Prerequisite Relations for Unseen Concepts EMNLP 2022 Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS 2022 Predicting the Influence of Fake and Real News Spreaders (Student Abstract) AAAI 2022 Predictive State Propensity Subclassification (PSPS): A causal inference algorithm for data-driven propensity score stratification CLeaR 2022 Predictive Student Modelling in an Online Reading Platform AAAI 2022 Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model CVPR 2022 PredStereo: An Accurate Real-Time Stereo Vision System WACV 2022