12th Asian Conference on Machine Learning, November 18-20 2020, Bangkok, Thailand (now virtual)
69 Lectures · Oct 27, 2020
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The 12th Asian Conference on Machine Learning, Bangkok, Thailand (ACML 2020) aims to provide a leading international forum for researchers in machine learning and related fields to share their new ideas, progress and achievements.
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Uploaded videos:
Invited Speakers
Rethinking the Role of Optimization in Learning
Nov 16, 2020
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52 Views
Neuralizing Algorithms
Nov 09, 2020
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86 Views
Conversation Modeling
Nov 17, 2020
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32 Views
Fast and Accurate Neural Learning with Limited Memory Size, Limited Energy Suppl...
Nov 17, 2020
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20 Views
Journal Track
Binary Classification with Ambiguous Training Data
Nov 16, 2020
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51 Views
Boost image captioning with knowledge reasoning
Nov 09, 2020
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9 Views
Fast and accurate pseudoinverse with sparse matrix reordering and incremental ap...
Nov 09, 2020
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18 Views
Learning with mitigating random consistency from the accuracy measure
Nov 09, 2020
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4 Views
Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thre...
Nov 09, 2020
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23 Views
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
Nov 09, 2020
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15 Views
Conference Track
Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge
Oct 27, 2020
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17 Views
PSForest: Improving Deep Forest via Feature Pooling and Error Screening
Nov 09, 2020
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8 Views
Randomness Efficient Feature Hashing For sparse Binary Data
Nov 09, 2020
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7 Views
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learnin...
Nov 09, 2020
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11 Views
Proxy Network for Few Shot Learning
Nov 09, 2020
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20 Views
Constrained Reinforcement Learning via Policy Splitting
Nov 09, 2020
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12 Views
Foolproof Cooperative Learning
Nov 09, 2020
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26 Views
Learning from Label Proportions with Consistency Regularization
Nov 09, 2020
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18 Views
Bridging Ordinary-Label Learning and Complementary-Label Learning
Nov 09, 2020
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12 Views
Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for No...
Nov 09, 2020
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13 Views
Inferring Continuous Treatment Doses from Historical Data via Model-Based Entrop...
Nov 09, 2020
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3 Views
Robust document distance with Wasserstein-Fisher-Rao metric
Nov 09, 2020
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13 Views
Data-Dependent Conversion to a Compact Integer-Weighted Presentation of a Weight...
Nov 09, 2020
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4 Views
Geodesically-convex optimization for averaging partially observed covariance mat...
Nov 09, 2020
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10 Views
Scalable Calibration of Affinity Matrices from Incomplete Observations
Nov 09, 2020
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7 Views
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcem...
Nov 09, 2020
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8 Views
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies
Nov 09, 2020
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12 Views
NENN: Incorporate Node and Edge Features in Graph Neural Networks
Nov 09, 2020
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43 Views
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survi...
Nov 09, 2020
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8 Views
Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community...
Nov 09, 2020
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8 Views
Boosting-Based Reliable Model Reuse
Nov 09, 2020
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15 Views
Inverse Visual Question Answering with Multi-Level Attentions
Nov 09, 2020
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4 Views
A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selectio...
Nov 09, 2020
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17 Views
Deep Dynamic Boosted Forest
Nov 09, 2020
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12 Views
Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation
Nov 09, 2020
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4 Views
Dual Learning: Theoretical Study and an Algorithmic Extension
Nov 09, 2020
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11 Views
Learning Code Changes by Exploiting Bidirectional Converting Deviation
Nov 09, 2020
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23 Views
Network Representation learning Algorithm Based on Neighborhood influence sequen...
Nov 09, 2020
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16 Views
Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentification
Nov 09, 2020
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17 Views
A One-step Approach to Covariate Shift Adaptation
Nov 09, 2020
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22 Views
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
Nov 09, 2020
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19 Views
Collaborative Exploration in Stochastic Multi-Player Bandits
Nov 09, 2020
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9 Views
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcemen...
Nov 09, 2020
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19 Views
A New Representation Learning Method for individual Treatment Effect Estimation:...
Nov 09, 2020
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8 Views
Thompson Sampling for Unsupervised Sequential Selection
Nov 09, 2020
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20 Views
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Comp...
Nov 09, 2020
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20 Views
Efficient Attention Calibration Network for Real-Time Semantic Segmentation
Nov 09, 2020
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13 Views
Bidirectional Dependency-Guided Attention for Relation Extraction
Nov 09, 2020
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19 Views
Monte-Carlo Graph Search: the Value of Merging Similar States
Nov 09, 2020
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17 Views
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning
Nov 09, 2020
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25 Views
Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit F...
Nov 09, 2020
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22 Views
DFQF: Data Free Quantization-aware Fine-tuning
Nov 09, 2020
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17 Views
Localizing and Amortizing: Efficient Inference for Gaussian Processes
Nov 09, 2020
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18 Views
MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning
Nov 09, 2020
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21 Views
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow
Nov 09, 2020
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11 Views
Scaling up Simhash
Nov 09, 2020
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8 Views
Disentangled Representations for Sequence Data using Information Bottleneck Prin...
Nov 11, 2020
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29 Views
Robust Deep Ordinal Regression under Label Noise
Nov 11, 2020
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30 Views
Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient S...
Nov 16, 2020
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14 Views
Towards Understanding and Improving the Transferability of Adversarial Examples ...
Nov 16, 2020
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31 Views
Learning Dynamic Context Graph Embedding
Nov 16, 2020
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9 Views
Learning Interpretable Models using Soft Integrity Constraints
Nov 16, 2020
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7 Views
Challenges for Machine Learning
Nov 17, 2020
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43 Views
AARM: Action Attention Recalibration Module for Action Recognition
Nov 17, 2020
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18 Views
Tutorials
Tutorial — Forecasting for Data Scientists
Nov 16, 2020
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849 Views
Optimization Methods for Machine Learning
Nov 09, 2020
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30 Views
Recent Advances in Bayesian Optimization
Nov 09, 2020
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235 Views
Tensor Networks in Machine Learning: Recent Advances and Frontiers
Nov 09, 2020
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42 Views
Towards Neural Architecture Search: Challenges and Solutions
Nov 18, 2020
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29 Views