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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)

What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization ICLR 2022 What to Learn, and How: Toward Effective Learning from Rationales ACL 2022 What To Look at and Where: Semantic and Spatial Refined Transformer for Detecting Human-Object Interactions CVPR 2022 What Was Your Name Again? Interrogating Generative Conversational Models For Factual Consistency Evaluation EMNLP 2022 What You See is What You Classify: Black Box Attributions NeurIPS 2022 When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture NeurIPS 2022 When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty AAAI 2022 When are Local Queries Useful for Robust Learning? NeurIPS 2022 When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it NAACL 2022 When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL 2022 When Can the Defender Effectively Deceive Attackers in Security Games? AAAI 2022 When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks EMNLP 2022 When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? ICLR 2022 When Combinatorial Thompson Sampling meets Approximation Regret NeurIPS 2022 When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues ACL 2022 When does CLIP generalize better than unimodal models? When judging human-centric concepts ACL 2022 When Does Group Invariant Learning Survive Spurious Correlations? NeurIPS 2022 When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes NAACL 2022 When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework AAAI 2022 When Language Model Meets Private Library EMNLP 2022 When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits NeurIPS 2022 When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism AAAI 2022 When should agents explore? ICLR 2022 When the Student Becomes the Master: Learning Better and Smaller Monolingual Models from mBERT COLING 2022 When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning NeurIPS 2022