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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)

BADFSS: Backdoor Attacks on Federated Self-Supervised Learning IJCAI 2024 BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection IJCAI 2024 BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning AAAI 2024 BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract) AAAI 2024 BAGEL: Bootstrapping Agents by Guiding Exploration with Language ICML 2024 Bagging is an Optimal PAC Learner (Extended Abstract) IJCAI 2024 Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs NeurIPS 2024 BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting EMNLP 2024 BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving AAAI 2024 BAKU: An Efficient Transformer for Multi-Task Policy Learning NeurIPS 2024 Balanced reward-inspired reinforcement learning for autonomous vehicle racing L4DC 2024 Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation AAAI 2024 Balancing Context Length and Mixing Times for Reinforcement Learning at Scale NeurIPS 2024 Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance AAAI 2024 Balancing Multimodal Learning via Online Logit Modulation IJCAI 2024 Balancing Similarity and Complementarity for Federated Learning ICML 2024 Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model ACL 2024 Balancing Transparency and Accuracy: A Comparative Analysis of Rule-Based and Deep Learning Models in Political Bias Classification EMNLP 2024 Balancing Visual Context Understanding in Dialogue for Image Retrieval EMNLP 2024 BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models COLING 2024 BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts NeurIPS 2024 BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense SemEval 2024 BAN: Detecting Backdoors Activated by Adversarial Neuron Noise NeurIPS 2024 Bandits with Replenishable Knapsacks: the Best of both Worlds ICLR 2024 BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024