In deep reinforcement learning, a pruned network is a good network
【DL輪読会】In deep reinforcement learning, a pruned network is a good network by @ more
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Positions, lengths, orders and surrounding matters in reasonings with LLM
【DL輪読会】Positions, lengths, orders and surrounding matters in reasonings with L more
UFO: A UI-Focused Agent for Windows OS Interaction
【DL輪読会】UFO: A UI-Focused Agent for Windows OS Interaction by @DeepLearning2023
Equivariant and Coordinate independent Convolutional Networks
【DL輪読会】Equivariant and Coordinate independent Convolutional Networks by @DeepLearning more
Object-Centric SemanticVector Quantization
【DL輪読会】Object-Centric SemanticVector Quantization by @DeepLearning2023
Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics
【DL輪読会】Temporal dendritic heterogeneity incorporated with spiking neural networks for more
”OMNIGROK: GROKKING BEYOND ALGORITHMIC DATA” ICRL2023
【DL輪読会】”OMNIGROK: GROKKING BEYOND ALGORITHMIC DATA” ICRL2023 by @DeepLearning2023
MoE-LLaVA: Mixture of Experts for LargeVision-Language Models
【DL輪読会】MoE-LLaVA: Mixture of Experts for Large Vision-Language Models by @DeepLearnin more
Generative Time Series Models with InterpretableLatent Processes for Complex Disease Trajectories(NIPS 2023)
【DL輪読会】Generative Time Series Models with InterpretableLatent Processes for Complex D more