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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)

Causality Based Front-door Defense Against Backdoor Attack on Language Models ICML 2024 Causality for Functional Longitudinal Data CLeaR 2024 Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval AAAI 2024 Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks ICLR 2024 Causal language modeling can elicit search and reasoning capabilities on logic puzzles NeurIPS 2024 Causal Layering via Conditional Entropy CLeaR 2024 Causal-learn: Causal Discovery in Python JMLR 2024 CausalLM is not optimal for in-context learning ICLR 2024 Causally Abstracted Multi-armed Bandits UAI 2024 Causally Aligned Curriculum Learning ICLR 2024 Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024 Causally Inspired Regularization Enables Domain General Representations AISTATS 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024 Causal Matching using Random Hyperplane Tessellations CLeaR 2024 Causal Micro-Narratives EMNLP 2024 Causal Modeling with Stationary Diffusions AISTATS 2024 Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning ICLR 2024 Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection CVPR 2024 CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention IJCAI 2024 CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification CVPR 2024 Causal Q-Aggregation for CATE Model Selection AISTATS 2024 Causal Representation Learning via Counterfactual Intervention AAAI 2024 Causal State Distillation for Explainable Reinforcement Learning CLeaR 2024 CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction NeurIPS 2024 Causal-StoNet: Causal Inference for High-Dimensional Complex Data ICLR 2024