12th Asian Conference on Machine Learning, November 18-20 2020, Bangkok, Thailand (now virtual)
69 Videos · Oct 27, 2020
About
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.
Videos
Invited Speakers
Conversation Modeling
Nov 17, 2020
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40 views
Fast and Accurate Neural Learning with Limited Memory Size, Limited Energy Suppl...
Nov 17, 2020
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25 views
Rethinking the Role of Optimization in Learning
Nov 16, 2020
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55 views
Neuralizing Algorithms
Nov 9, 2020
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88 views
Journal Track
Boost image captioning with knowledge reasoning
Nov 9, 2020
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12 views
Binary Classification with Ambiguous Training Data
Nov 16, 2020
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60 views
Fast and accurate pseudoinverse with sparse matrix reordering and incremental ap...
Nov 9, 2020
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20 views
Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thre...
Nov 9, 2020
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30 views
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
Nov 9, 2020
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25 views
Learning with mitigating random consistency from the accuracy measure
Nov 9, 2020
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8 views
Conference Track
Towards Understanding and Improving the Transferability of Adversarial Examples ...
Nov 16, 2020
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35 views
Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentification
Nov 9, 2020
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25 views
Disentangled Representations for Sequence Data using Information Bottleneck Prin...
Nov 11, 2020
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42 views
Learning Dynamic Context Graph Embedding
Nov 16, 2020
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12 views
Boosting-Based Reliable Model Reuse
Nov 9, 2020
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23 views
Scalable Calibration of Affinity Matrices from Incomplete Observations
Nov 9, 2020
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11 views
Foolproof Cooperative Learning
Nov 9, 2020
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35 views
Efficient Attention Calibration Network for Real-Time Semantic Segmentation
Nov 9, 2020
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21 views
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning
Nov 9, 2020
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36 views
Monte-Carlo Graph Search: the Value of Merging Similar States
Nov 9, 2020
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27 views
NENN: Incorporate Node and Edge Features in Graph Neural Networks
Nov 9, 2020
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52 views
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcemen...
Nov 9, 2020
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27 views
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcem...
Nov 9, 2020
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17 views
Robust document distance with Wasserstein-Fisher-Rao metric
Nov 9, 2020
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27 views
Dual Learning: Theoretical Study and an Algorithmic Extension
Nov 9, 2020
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13 views
Scaling up Simhash
Nov 9, 2020
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10 views
Robust Deep Ordinal Regression under Label Noise
Nov 11, 2020
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39 views
DFQF: Data Free Quantization-aware Fine-tuning
Nov 9, 2020
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29 views
Network Representation learning Algorithm Based on Neighborhood influence sequen...
Nov 9, 2020
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22 views
Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge
Oct 27, 2020
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21 views
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learnin...
Nov 9, 2020
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17 views
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Comp...
Nov 9, 2020
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24 views
A One-step Approach to Covariate Shift Adaptation
Nov 9, 2020
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37 views
Proxy Network for Few Shot Learning
Nov 9, 2020
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27 views
Inverse Visual Question Answering with Multi-Level Attentions
Nov 9, 2020
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10 views
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies
Nov 9, 2020
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24 views
Challenges for Machine Learning
Nov 17, 2020
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51 views
Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient S...
Nov 16, 2020
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18 views
Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation
Nov 9, 2020
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6 views
Bidirectional Dependency-Guided Attention for Relation Extraction
Nov 9, 2020
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24 views
Bridging Ordinary-Label Learning and Complementary-Label Learning
Nov 9, 2020
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21 views
Randomness Efficient Feature Hashing For sparse Binary Data
Nov 9, 2020
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10 views
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
Nov 9, 2020
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22 views
A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selectio...
Nov 9, 2020
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25 views
Localizing and Amortizing: Efficient Inference for Gaussian Processes
Nov 9, 2020
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22 views
Learning Interpretable Models using Soft Integrity Constraints
Nov 16, 2020
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15 views
PSForest: Improving Deep Forest via Feature Pooling and Error Screening
Nov 9, 2020
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13 views
Scalable Inference on the Soft Affiliation Graph Model for Overlapping Community...
Nov 9, 2020
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13 views
Learning Code Changes by Exploiting Bidirectional Converting Deviation
Nov 9, 2020
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28 views
AARM: Action Attention Recalibration Module for Action Recognition
Nov 17, 2020
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30 views
Constrained Reinforcement Learning via Policy Splitting
Nov 9, 2020
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19 views
Data-Dependent Conversion to a Compact Integer-Weighted Presentation of a Weight...
Nov 9, 2020
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6 views
Inferring Continuous Treatment Doses from Historical Data via Model-Based Entrop...
Nov 9, 2020
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15 views
Thompson Sampling for Unsupervised Sequential Selection
Nov 9, 2020
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27 views
Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit F...
Nov 9, 2020
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29 views
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow
Nov 9, 2020
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13 views
A New Representation Learning Method for individual Treatment Effect Estimation:...
Nov 9, 2020
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19 views
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survi...
Nov 9, 2020
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15 views
MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning
Nov 9, 2020
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32 views
Deep Dynamic Boosted Forest
Nov 9, 2020
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23 views
Learning from Label Proportions with Consistency Regularization
Nov 9, 2020
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21 views
Collaborative Exploration in Stochastic Multi-Player Bandits
Nov 9, 2020
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18 views
Geodesically-convex optimization for averaging partially observed covariance mat...
Nov 9, 2020
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16 views
Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for No...
Nov 9, 2020
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14 views
Tutorials
Optimization Methods for Machine Learning
Nov 9, 2020
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38 views
Towards Neural Architecture Search: Challenges and Solutions
Nov 18, 2020
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39 views
Tutorial — Forecasting for Data Scientists
Nov 16, 2020
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1001 views
Recent Advances in Bayesian Optimization
Nov 9, 2020
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261 views
Tensor Networks in Machine Learning: Recent Advances and Frontiers
Nov 9, 2020
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50 views