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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)

The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations NeurIPS 2021 The Parameterized Complexity of Connected Fair Division IJCAI 2021 The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation EMNLP 2021 The Pipeline Model for Resolution of Anaphoric Reference and Resolution of Entity Reference EMNLP 2021 The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing ACL 2021 The Power of Literal Equivalence in Model Counting AAAI 2021 The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs IJCAI 2021 The Price of Anarchy in ROSCAS with Risk Averse Agents AAAI 2021 There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge CVPR 2021 The Right To Talk: An Audio-Visual Transformer Approach ICCV 2021 The Risks of Invariant Risk Minimization ICLR 2021 Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools EMNLP 2021 The Road To Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation ICCV 2021 The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity ACL 2021 The Sample Complexity of Teaching by Reinforcement on Q-Learning AAAI 2021 The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning NeurIPS 2021 The Sparse Vector Technique, Revisited COLT 2021 The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders EMNLP 2021 The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement AAAI 2021 The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation ICCV 2021 The Task Specification Problem CoRL 2021 The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits AAAI 2021 The Translucent Patch: A Physical and Universal Attack on Object Detectors CVPR 2021 The UMD Submission to the Explainable MT Quality Estimation Shared Task: Combining Explanation Models with Sequence Labeling EMNLP 2021 The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media AAAI 2021