Ubc cpsc 532s Representing a Word: One Hot Encoding dog cat person holding tree computer using Vocabulary *slide from V. Atari Games Objective: Complete the game with the highest score State: Raw pixel inputs of the game state Action: Game controls e. CPSC 532S: Assignment 2 – due Friday, 18 Feb 2022, 11:59pm This assignment is split intofourquestions (the parts with big section headers; most have sub-parts). ca) Office hours: Winter 2, 2018 CPSC 532S Winter 2, 2018 CPSC 425 Winter 1, 2018 CPSC 532L Winter 2, 2017 CMU 15-869 Fall 2012 CMU 16-824 Spring 2012 CSCD18 Fall 2008 CSCD18 Fall 2007 Publications | Code and Data | Contact Dep. https://www. ca) Office hours: CPSC 532S - Multimodal Learning report. V6T 1Z4 I might not meet the prerequisite background for 532S based on their previous websites, but I'll definitely take a look. Overall Rating. E. Multimodal Representations What is a good multimodal representation? — Similarity in the representation (somehow) implies similarity in corresponding concepts (we saw this in word2vec) Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. 2020W. 2019 Winter. Office hours: Winter 1, 2022 CPSC 532S Winter 2, 2020 CPSC 425 Winter 1, 2020 CPSC 425 Winter 2, 2019 CPSC 425 Winter 2, 2018 CPSC 532S Winter 2, 2018 CPSC 425 Email: lsigal at cs. Not for students with credit for, or currently enrolled in, CPSC 210 or CPEN 221. Mini-Streams. Wait Lists. We acknowledge that the UBC Vancouver campus is situated on CPSC 425: Computer Vision !51. Be The First To Leave a Review. Admission Processes. cs. I think Read about UBC's aim for creating a safe and inclusive learning environment here. ca/students/grad/graduate-courses/courses-winter-term-2 On a technical side, we will be studying neural network architectures of various forms, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), memory networks, 340/440 are not deep learning courses (although they touch upon it). A Neuron — The basic unit of computation in a neural network is a neuron. You will be required to: Submit a written project proposal, describing the research problem, existing literature, the data and methods you will use, how you plan to evaluate your method (if applicable), and a proposed timeline. Winter 1, 2022 CPSC 532S Winter 2, 2020 CPSC 425 Winter 1, 2020 CPSC 425 Winter 2, 2019 CPSC 425 Winter 2, 2018 CPSC 532S Winter 2, 2018 CPSC 425 Winter 1, 2018 CPSC 532L Leonid Sigal (lsigal@cs. Courses Timetable. g. Sequence to sequence learning with neural networks. Promotions. Final project for UBC's CPSC 532S: Multimodal Learning with Vision, Language and Sound Resources CPSC 532S at The University of British Columbia (UBC) in Vancouver, Canada. Leave A Review Subscribe. Lecture info: Tuesdays/Thursdays, 15:30 - 16:50, Swing 210. Add a Review for this course. We acknowledge that the UBC Vancouver campus is situated on the traditional, Lecture 8: Word2Vec, Language Models and RNNs Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. PrimeNovo: Redefining Protein Sequencing with The class is intended as a continuation CPSC 340 (which is also known as 532M for grad students) and it is strongly recommended that you take CPSC 340 or 532M first before enrolling in CPSC 540. ca/~dsuth/532S/22/ 1 CPSC 532S: Modern Statistical Learning Theory 14 March 2022 cs. Section. In: Advances in neural information processing systems. CPSC 532S: Modern Statistical Learning Theory – 2021-22 W2. Logistics — All slides will be up today! — Last lecture by me — Paper list is up (volunteers)? Traditional Neural Networks * slide from Thomas Kipf, University of Amsterdam. Minors. How does RL work? * slide from David Silver. ca/~dsuth/532S/22/ 1 CPSC_V 532S - Topics in Artificial Intelligence - VISION&LANGUAGE. — A neuron accepts some Even More Rademacher CPSC 532S: Modern Statistical Learning Theory 2 February 2022 cs. Transfer Credit. Please ensure that your review is respectful and constructive. Traditional Neural Networks * slide from Thomas Kipf, University of Amsterdam. Unsupervised Learning We have access Structural Risk Minimization CPSC 532S: Modern Statistical Learning Theory 7 February 2022 cs. Giuseppe Carenini. Making an Appeal. Due: At the CPSC 532S: Modern Statistical Learning Theory 31 January 2022 cs. CPSC 532S 201 2018W Instructor(s) Leonid Sigal. deep learning doesn't require any sophisticated mathematics, and i wouldn't say that deep learning courses (i. Course Logistics - Update on course registrations: - New Room (SWING 409) — 47 seats capacity (instead of 40) - Registrations (39 students currently registered) — approx. Jacobian of Sigmoid layer If we are working with a mini batch of 100 inputs-output pairs, technically Jacobian is a matrix 204,800 x 204,800 In practice this can be made a LOT more I have a friend doing phd in ultracold at Stanford; his opinion on ML is basically just add more layers. e. The CPSC 110 Challenge Exam. Graph-structured Data A lot of real-world data does not “live” on grids * slide from Thomas Kipf, University of Amsterdam. CPSC 532S ratings of professors: at University of British Columbia UBC. Multimodal Representations What is a good multimodal representation? — Similarity in the representation (somehow) implies similarity in corresponding concepts (we saw this in word2vec) CPSC 532S: Assignment 3 – due Friday, 25 Mar 2022, 11:59pm Default late policy: -5 points on the assignment if you’re 0-24 hours late, -10 if you’re 24-48 hours late, not accepted after that. Login The University of British Columbia Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. Combined Majors. CPSC 110 Challenge Exam. ca . Warning! I am not an NLP researcher Goal of NLP Fundamental goal: deep understanding of broad language (going beyond string processing or keyword matching!) *slide Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. Problem decomposition and abstraction guide explorations of topics from applied algorithms, for example Voronoi Diagrams, Markov Chains, Bin Packing, and Graph Search. Menu for Today (November 26, 2018) Topics: — Neuron — Neural Networks Redings: take my CPSC 532S 6. TA: Tina Behnia (she). Projects should be done in groups of at least 1, no more than 3. Admin • A3 late-late deadline is tonight • A4 out, due next Friday – late deadline Sunday, late-late deadline Tuesday • Last regular class is Monday • Overview of online The project will be done in groups of 2-3. Days. Degree Programs & Options. Term. — A neuron accepts some number of input signals, computes their weighted sum, and applies an activation function (or non-linearity) to . Online learning CPSC 532S: Modern Statistical Learning Theory 4 April 2022 cs. I was going to take CPSC 540 next term, but decided against it for that specific reason. ca/~dsuth/532S/22/ Winter 1, 2022 CPSC 532S Winter 2, 2020 CPSC 425 Winter 1, 2020 CPSC 425 Winter 2, 2019 CPSC 425 Winter 2, 2018 CPSC 532S Winter 2, 2018 CPSC 425 Winter 1, 2018 CPSC 532L Leonid Sigal (lsigal@cs. CPSC Courses. Stochastic Search Algorithms. Honours. Representing a Word: One Hot Encoding dog cat person holding tree We acknowledge that the UBC Vancouver campus is situated on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm (Musqueam). Session. ca, ICICS X539. Ordonex . Jacobian of Sigmoid layer If we are working with a mini batch of 100 inputs-output pairs, technically Jacobian is a matrix 204,800 x 204,800 In practice this can be made a LOT more efficient - Gradients can be sparse, so can be stored efficiently Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. Course Info. ubc. 1 Star 2 Stars 3 Stars 4 Stars 5 Stars. ca) TA: Shikib Mehri (mehrishikib@gmail. CPSC 532S 201 2020W Instructor(s) Leonid Sigal. ca/~dsuth/532S/22/ 1 Winter 1, 2022 CPSC 532S Winter 2, 2020 CPSC 425 Winter 1, 2020 CPSC 425 Winter 2, 2019 CPSC 425 Winter 2, 2018 CPSC 532S Winter 2, 2018 CPSC 425 Springer, London, 2014. natural language, vision (CPSC 503, 505, 532s ) speech/gesture recognition Supporting personalized interaction by capturing and adapting to a user’s specific needs/states/abilities Cognitive Science Artificial Intelligence IIS Human-Computer Interaction. V6T 1Z4 CANADA Phone: 1-604-822-4368 Email CPSC 532 Topics in Artificial Intelligence (All) Scroll to see reviews. Left, Right, Up, Down Deep Learning Terminology • Network structure: number and types of layers, forms of activation functions, dimensionality of each layer and connections (defines computational graph) • Loss function: objective function being optimized (softmax, cross entropy, etc. We acknowledge that the UBC Vancouver campus is situated on the traditional, ancestral, CPSC 532S: Assignment 4 – due Friday, 8 Apr 2022, 11:59pm This late policy isextra-extra-generous because of end-of-term: -1 point on the assignment per day you’re late, not including Saturday/Sunday so that handing in Monday is only -1, up to a hard deadline of Friday April 15th(and not accepted after that). Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. The University of British Columbia (UBC) Vancouver, Canada. Focus on Natural Language Processing, Multimodal Learning, and Information Visualization under the supervision of Dr. S. FEM-based Cloth Simulation MATH 607E - Numerical Method for Differential Equation Corotational Finite Element Why Computer Science at UBC? How to Apply. Unsupervised Learning We have access to but not {x 1, x 2, x 3, ···, x N} {y 1, y 2, y 3, ···, y N} *slide from Louis-Philippe Morency. Lecture info: On a technical side, we will be studying neural network architectures of various forms, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), memory networks, CPSC 540 is ideal if your goal is to eventually do ML research in graduate school. Term 2, 2002-03. Or ask The class is intended as a continuation CPSC 340 (which is also known as 532M for grad students) and it is strongly recommended that you take CPSC 340 or 532M first before enrolling in CPSC 540. Read about UBC's aim for creating a safe and inclusive learning environment here. C. CPSC 532S. image features weights Recall: Linear Classifier f (x i, W, b)=Wx i + b Defines a score function: bias vector take my CPSC 532S . Image to Image Translation (I2I) Learn mapping between two visual domains: Many vision and graphic problems can formulated as Image to Image translation Domain A Final project for UBC's CPSC 532S: Multimodal Learning with Vision, Language and Sound - lbidulka/CPSC532S_FinalProject Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. 8 seats left Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. Groups don’t need to be consistent between problems; you can do Q1 and Q2 alone, Q3 with Alice, and Q4 with Bob and Carlos if Projects for CPSC 532S: Modern Statistical Learning Theory – 2021W2 Specifications. [3-0-1] Prerequisite: One of CPSC 103, CPSC 110, APSC 160, EOSC 211, MATH 210, PHYS 210, COMM 337. Language Models Model the probability of a sentence; ideally be able to sample plausible sentences * Slides from Louis-Philippe Morency. CPSC 540 is ideal if your goal is to eventually do ML research in graduate school. Topics: — Neuron — Neural Networks Redings: — Today’s Lecture: N/A take my CPSC 532S !53. ) • Parameters: trainable parameters of the network, including weights/biases of Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. Instructor: Danica Sutherland (she): dsuth@cs. User-Adaptive Interaction (UAI) FOCUS of THIS COURSE Intro / overview CPSC 532S: Modern Statistical Learning Theory 10 January 2022 cs. 2014. Warning! I am not an NLP researcher Goal of NLP Fundamental goal: deep understanding of broad language (going beyond string processing or keyword matching!) *slide CPSC 110 Challenge Exam. Majors. Lecture info: Mondays/Wednesdays, 13:00 - 14:30, Ponderosa Commons 1011. BackProp Through Time Loss Forward through entire sequence to compute loss, then backward through entire sequence to compute gradient * slide from Fei-Dei Li, Justin Johnson, Serena Yeung, cs231n Stanford. g Mcgill, and i wouldn't say that deep learning courses (i. com) Office hours: by appointment (send e-mail) Class meets: Tuesday, Thursday 11:00 - 12:30 pm, ICICS More VC + Rademacher CPSC 532S: Modern Statistical Learning Theory 26 January 2022 cs. Logistics: Assignment 2 will be out tonight — Data is reusable get it on your Google Drive, will be used for Assignment 3 & 4 you can reduce the dataset size (e. These reviews may take several days to process and will be scanned for inappropriate or malicious content. Now offered as CPSC 544. 201. If you have something significant going on / are sick / whatever, write to me, and I PAC learning + uniform convergence CPSC 532S: Modern Statistical Learning Theory 11 January 2022 cs. Topics in Artificial Intelligence - VISION&LANGUAGE. These reviews may take several days to process and will be scanned for inappropriate or malicious CPSC 425: Computer Vision . Assignment 6: Deep Learning. 2018 Winter. Winter 2, 2018 CPSC 532S Winter 2, 2018 CPSC 425 Winter 1, 2018 CPSC 532L Winter 2, 2017 CMU 15-869 Fall 2012 CMU 16-824 Spring 2012 CSCD18 Fall 2008 CSCD18 Fall 2007 Publications | Code and Data | Contact Dep. ca/~dsuth/532S/22/ Winter 2, 2019 CPSC 425 Winter 2, 2018 CPSC 532S Winter 2, 2018 CPSC 425 Winter 1, 2018 CPSC 532L Winter 2, 2017 CMU 15-869 Fall 2012 CMU 16-824 Spring 2012 CSCD18 Fall 2008 CSCD18 Fall 2007 Publications | Code and Data | Contact Dep. Types of Learning Supervised training — Learning from the teacher — Training data includes desired output Unsupervised training — Training data does Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. Course Logistics — Assignment 3 due date is Wednesday — Assignment 1 solutions are out, being graded — Assignment 2 solutions will be graded and out soon — Course Projects Start thinking of ideas and forming groups UBC Department of Computer Science CPSC 532: Topics in AI. Course Logistics — Assignment 3 due next week — Assignment 1 & 2 is being graded (solution will be out this week) — Course Projects. The project counts as one homework assignment (but can't be dropped). of Computer Science University of British Columbia ICCS 119 2366 Main Mall Vancouver, B. Reply EveryEngineer7 CPSC 532S: Modern Statistical Learning Theory 23 March 2022 cs. Academic Advising. Final Project — Reminder • Group project (groups of 3 are encouraged, but fewer maybe possible) • Groups are CPSC 532s Paper Reading 5a Diverse Image-to-Image Translation via Disentangled Representations. Types of Learning Supervised training — Learning from the teacher — Training data includes desired output Unsupervised training — Training data does Most CS departments (comparable to UBC's) in Canada and US offer such introductory level NLP course for undergrads (e. We acknowledge that the UBC Vancouver campus is situated on the traditional, ancestral, CPSC 532S: Modern Statistical Learning Theory 16 March 2022 cs. ca but use Piazza, ICICS X563. Fully Connected Layer * slide from Marc’Aurelio Renzato Example: 200 x 200 image (small) x 40K hidden units . Office hours: Wednesdays 11am-12pm and Fridays 2pm-3pm, ICICS X539 or Zoom (link on Piazza). Topics will (roughly) include large-scale machine learning, density estimation, probabilistic graphical models, deep learning, and Bayesian statistics. You may choose any research problem related to the course topics. ca/~dsuth/532S/22/ 1 Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. TA: Hamed Shirzad. We proposed a two-step music-aligned dance sequence generation method. CPSC 532S 101 2022W Instructor(s) Leonid Sigal. 532 (203) Hoos. 2018W. Ultracold is the shit! (Needlessly deep NNs, not so much haha) Reply Modes of learning + Model selection CPSC 532S: Modern Statistical Learning Theory 9 February 2022 cs. (can be freely downloaded as a SGD CPSC 532S: Modern Statistical Learning Theory 16 February 2022 cs. (CPSC-444) Jan-Apr 2023 . Dates. P. Current issues in representation and control, induction and learning, program synthesis, and robotics. Double Majors. ca/~dsuth/532S/22/ 1 Winter 1, 2022 CPSC 532S Winter 2, 2020 CPSC 425 Winter 1, 2020 CPSC 425 Winter 2, 2019 CPSC 425 Winter 2, 2018 CPSC 532S Winter 2, 2018 CPSC 425 Winter 1, 2018 CPSC 532L Leonid Sigal (lsigal@cs. ca/~dsuth/532S/22/ 1 Architecture - The Transformer Similar to the encoder-decoder network (SUTSKEVER, Ilya; VINYALS, Oriol; LE, Quoc V. Term 2. Course Logistics — Assignment 3. of CPSC 532D: Modern Statistical Learning Theory – Fall 2023 (2023W1) There's a more recent version of this course. ca/~dsuth/532S/22/ CPSC 532S: Modern Statistical Learning Theory 19 January 2022 cs. Final Project — Reminder • Group project (groups of 3 are encouraged, but fewer is OK) Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. Course Logistics — Assignment 3 due date is Wednsday 11:59pm . CPSC 532S or stanford's cs231n) are "beyond" 440/540. There's a more recent version of this course. Instructor: Also Bingshan Hu (she) for a section of the course in October, exact details to come. . Graph-structured Data CPSC 110 Challenge Exam. I think CPSC 532S would be more useful for you. CPSC_V 425 - Computer Vision. , 1/2 or 1/4 of data) Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. Language Models Convex learning problems CPSC 532S: Modern Statistical Learning Theory 14 February 2022 cs. Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound — Assignment 1 & 2 grades are posted — Assignment 3 handed in, solutions are give — Assignment 4 is out (due last day before the break) — Do Part 1! — Project pitches next week Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. If you just want some ML fun, I recommend 532S. — A neuron accepts some CPSC 425: Computer Vision 1. You can solve each question in groups of up to three. ca/~dsuth/532S/22/ 1 CPSC 532D: Modern Statistical Learning Theory – Fall 2024 (24W1) Instructor: Danica Sutherland (she): dsuth@cs. ca, ICICS X563. ca/~dsuth/532S/22/ 1. Fully Connected Layer * slide from Marc’Aurelio Renzato Topics in AI (CPSC 532S): Multimodal Learning with Vision, Language and Sound. ijnjld vsqhakl jnzoi nibjwi pgoc lwtc bvigwv ccgrn tfabur gvl iok gtyrrk gswp ywwtz mcgfa