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In this episode, we discuss Welcome to the Era of Experience by David Silver, Richard S. Sutton. The paper discusses the forthcoming era of artificial intelligence marked by agents with superhuman capabilities. These agents will primarily learn through experience. The note highlights the essential features that will characterize this new phase in AI development.
arxiv Preprint - Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
ICLR 2023 - Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
arxiv Preprint - RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment
arxiv Preprint - DoG is SGD’s Best Friend: A Parameter-Free Dynamic Step Size Schedule
CVPR 2023 - LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling
NeurIPS 2022 - Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
arxiv preprint - MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
arxiv preprint - 3D-LLM: Injecting the 3D World into Large Language Models
arxiv preprint - Meta-Transformer: A Unified Framework for Multimodal Learning
ICCV 2023 - Hidden Biases of End-to-End Driving Models
arxiv preprint - Retentive Network: A Successor to Transformer for Large Language Models
arxiv preprint - Challenges and Applications of Large Language Models
ICML 2023 - Self-Repellent Random Walks on General Graphs -- Achieving Minimal Sampling Variance via Nonlinear Markov Chains
CVPR 2023 - MIST: Multi-modal Iterative Spatial-Temporal Transformer for Long-form Video Question Answering
arxiv preprint - Deliberate then Generate: Enhanced Prompting Framework for Text Generation
arxiv preprint - Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts
ICLR 2023 - Copy Is All You Need
arxiv preprint - NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis
ICCV 2023 - DreamTeacher: Pretraining Image Backbones with Deep Generative Models
arxiv preprint - Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
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