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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)

Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees NeurIPS 2022 Calibrated Learning to Defer with One-vs-All Classifiers ICML 2022 Calibrating Factual Knowledge in Pretrained Language Models EMNLP 2022 Calibrating Student Models for Emotion-related Tasks EMNLP 2022 Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes EMNLP 2022 Calibration Error for Heterogeneous Treatment Effects AISTATS 2022 Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates EMNLP 2022 CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation RSS 2022 Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge AAAI 2022 Camelira: An Arabic Multi-Dialect Morphological Disambiguator EMNLP 2022 CaM-Gen: Causally Aware Metric-Guided Text Generation ACL 2022 CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation CVPR 2022 Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS 2022 Can AMR Assist Legal and Logical Reasoning? EMNLP 2022 Canary Extraction in Natural Language Understanding Models ACL 2022 Can Attention-based Transformers Explain or Interpret Cyberbullying Detection? COLING 2022 Can Buyers Reveal for a Better Deal? IJCAI 2022 Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? EMNLP 2022 Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation? EMNLP 2022 Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? COLING 2022 Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives ACL 2022 Can Explanations Be Useful for Calibrating Black Box Models? ACL 2022 Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? L4DC 2022 Can Functional Transfer Methods Capture Simple Inductive Biases? AISTATS 2022 Can Humans Be out of the Loop? CLeaR 2022