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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)

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity NAACL 2024 Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences NeurIPS 2024 Adaptive Rank Selections for Low-Rank Approximation of Language Models NAACL 2024 Adaptive Rational Activations to Boost Deep Reinforcement Learning ICLR 2024 Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories AAAI 2024 Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation ICLR 2024 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks ICLR 2024 Adaptive Shortcut Debiasing for Online Continual Learning AAAI 2024 Adaptive Simultaneous Sign Language Translation with Confident Translation Length Estimation COLING 2024 Adaptive Slot Attention: Object Discovery with Dynamic Slot Number CVPR 2024 Adaptive Text Watermark for Large Language Models ICML 2024 Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities EMNLP 2024 Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval AAAI 2024 Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning CVPR 2024 ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities MIDL 2024 AdaRA: Adaptive Rank Allocation of Residual Adapters for Speech Foundation Model Interspeech 2024 AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback NAACL 2024 AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making NeurIPS 2024 AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024 A Dataset for the Detection of Dehumanizing Language EACL 2024 ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association CVPR 2024 Ad Auctions for LLMs via Retrieval Augmented Generation NeurIPS 2024 AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning EMNLP 2024 Adding Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Legal Opinions COLING 2024 Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation NeurIPS 2024