Explore the Set Transformer framework that introduces advanced methods for handling set-input problems and achieving permutation invariance in neural networks. The framework utilizes self-attention mechanisms and pooling architectures to encode features and transform sets efficiently, offering insig

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This presentation discusses a novel approach in self-supervised learning (SSL) called Pretext-Invariant Representations Learning (PIRL). Traditional SSL methods yield covariant representations, but PIRL aims to learn invariant representations using pretext tasks that make representations similar for

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Explore the key principles of special relativity, including Galileo's principle of relativity and Einstein's principle of relativity. Dive into concepts like length contraction, momentum and energy conservation, and the invariance of mass-energy. Witness how observers inside and outside moving frame

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At birth, infants cannot comprehend or produce speech, but by the age of 4, they have acquired vocabulary and grammatical rules to form various sentence structures. From vocalization to babbling and then to speech, infants progress through distinct stages in language development. Understanding how i

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Exploring the insensitivity of posterior distributions to variations in prior distributions using a Poisson model applied to pancreas data. The analysis involves calculating posterior mean and standard deviation with different Gamma prior distributions. Results showcase minimal change in outcomes ac

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Understanding the intrinsic and extrinsic behavior of semiconductors with respect to temperature dependence, carrier concentration, and mobility. Exploring the impact of temperature and doping on carrier mobility through lattice and impurity scattering effects. Examining the invariance of Fermi leve

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Delve into the intriguing concepts of scale invariance and conformal invariance in theoretical physics through discussions on topics such as topological twist, critical phenomena, unitarity arguments, and counterexamples. Explore the fine balance between these two powerful symmetries and their impli

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Colin Johnson advocated for a mercury jet target as the next step for muon production post-ACOL. Current studies focus on a carbon target with proton beam parameters optimized for muon generation. Carlo Rubbia discussed a potential Muon-Collider Higgs Factory concept at CERN, sparking debate on muon

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Workshop on Top Physics at the LC in Paris discussed present and future constraints on top electroweak couplings. The talk indicated how constraints from previous measurements at LEP, Tevatron, and SLC impact realistic expectations. Composite models like Little Higgs play a significant role in top q

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Dive deep into concepts like the Haldane Model, Chern Numbers, and Linear Response Theory in Quantum Physics. Understand the intricate relationships between magnetic fields, electron Hamiltonians, and conductivity theories. Explore the fascinating world of quantum Hall effects and gauge invariance i

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Introducing local invariance to Session-Based Recommendation (SBR), the proposed model considers both detailed ordering and high-level session ordering. By explicitly capturing local context information and global sequential patterns, the model outperforms existing methods in predicting the next use

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Understanding the complexities of object recognition is crucial in machine learning. Real scenes present challenges like cluttered backgrounds, varied lighting, deformation, and affordances. Viewpoint changes and input dimension hopping further complicate recognition tasks. Different approaches, suc

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Explore advanced gaze estimation techniques such as Cross-Ratio based trackers, Geometric Models of the Eye, Model-based Gaze Estimation, and more. Learn about their pros and cons, from accurate 3D gaze direction to head pose invariance. Discover the significance of Glint, Pupil, Iris, Sclera, and C

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Get insights into Renormalization Group Theory and the Sine-Gordon Model through lectures covering key concepts such as field theory action, decomposition, Green's functions, model scaling, phase diagrams, symmetries, and phase transitions. Discover how scale invariance and order parameters play a r

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