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Differentially Private Hierarchical Clustering with Provable Approximation Guarantees
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nS2x7LOKZk
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
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Ovu1horBiZ
Reinforcement Learning from Passive Data via Latent Intentions
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jwy77xkyPt
Information-Theoretic State Space Model for Multi-View Reinforcement Learning
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Bayes-optimal Learning of Deep Random Networks of Extensive-width
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O1j4uFuSVW
Adapting to game trees in zero-sum imperfect information games
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Uncertain Evidence in Probabilistic Models and Stochastic Simulators
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[ { "authors": [ "J M Hammersley", "D C Handscomb" ], "doi": "10.1007/978-94-009-5819-7", "ref_id": "b14", "title": "Monte Carlo Methods", "year": "1964" }, { "authors": [ "Nicholas Metropolis", "Arianna W Rosenbluth", "Marshall N Rosenbluth", "Augus...
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XAK3238obr
How Bad is Top-$K$ Recommendation under Competing Content Creators?
data/openreview_paper/ICML_2023_oral/XAK3238obr//paper.pdf
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[ { "authors": [ "O Ben-Porat", "M Tennenholtz" ], "doi": "", "ref_id": "b5", "title": "A game-theoretic approach to recommendation systems with strategic content providers", "year": "2018" }, { "authors": [ "H Hotelling" ], "doi": "", "ref_id": "b16", ...
[ { "authors": [ "Peter Auer", "Nicolò Cesa-Bianchi", "Yoav Freund", "Robert E Schapire" ], "doi": "10.1137/s0097539701398375", "ref_id": "b0", "title": "The Nonstochastic Multiarmed Bandit Problem", "year": "2002" }, { "authors": [ "M Balog", "N Tri...
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6rlGbYv4bT
Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees
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DH11pt7S2t
Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction
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Lhyy8H75KA
Scaling Vision Transformers to 22 Billion Parameters
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[ { "authors": [ "Samira Abnar", "Willem Zuidema" ], "doi": "10.18653/v1/2020.acl-main.385", "ref_id": "b0", "title": "Quantifying Attention Flow in Transformers", "year": "2020" }, { "authors": [ "S Abnar", "M Dehghani", "B Neyshabur", "H Sedghi" ...
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cjWHQpEqaZ
Robustly Learning a Single Neuron via Sharpness
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y6gg68aGiq
Tighter Information-Theoretic Generalization Bounds from Supersamples
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Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch
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Understanding Plasticity in Neural Networks
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Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
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Brauer's Group Equivariant Neural Networks
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Bayesian Design Principles for Frequentist Sequential Learning
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Efficient RL via Disentangled Environment and Agent Representations
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1F2Opw8CGA
Structure-informed Language Models Are Protein Designers
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On the Statistical Benefits of Temporal Difference Learning
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A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
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Sequential Underspecified Instrument Selection for Cause-Effect Estimation
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[ { "authors": [ "Joshua D Angrist", "Jörn-Steffen Pischke" ], "doi": "10.2307/j.ctvcm4j72", "ref_id": "b1", "title": "Mostly Harmless Econometrics", "year": "2008" }, { "authors": [ "Hyunseung Kang", "Anru Zhang", "T Tony Cai", "Dylan S Small" ]...
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Do Perceptually Aligned Gradients Imply Robustness?
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[ { "authors": [ "Daniel Jakubovitz", "Raja Giryes" ], "doi": "10.1007/978-3-030-01258-8_32", "ref_id": "b34", "title": "Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization", "year": "2018" }, { "authors": [ "Chris Finlay", "Adam M Ober...
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HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
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[ { "authors": [ "Seungwan Hong", "Jai Hyun Park", "Wonhee Cho", "Hyeongmin Choe", "Jung Hee Cheon" ], "doi": "10.1186/s12864-022-08469-w", "ref_id": "b19", "title": "Secure tumor classification by shallow neural network using homomorphic encryption", "year": "202...
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Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
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[ { "authors": [ "Ayan Chaudhuri" ], "doi": "10.55041/ijsrem55159", "ref_id": "b12", "title": "Lightweight Phishing URL Detection Using Hybrid Lexical–Metadata Features: A Machine Learning Approach", "year": "09-15 Jun 2019" }, { "authors": [ "K Ahn", "C Yun", "...
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dEjB1SLDnt
Evaluating Self-Supervised Learning via Risk Decomposition
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skb34O7hFp
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
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[ { "authors": [ "L.-J Lin" ], "doi": "10.1023/a:1022628806385", "ref_id": "b43", "title": "Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching", "year": "1992" }, { "authors": [ "L Wu", "D Wang", "Q Liu" ], "doi": "", ...
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Transformers Learn In-Context by Gradient Descent
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Why does Throwing Away Data Improve Worst-Group Error?
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The Price of Differential Privacy under Continual Observation
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Tight Data Access Bounds for Private Top-$k$ Selection
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[ { "authors": [ "Zeyu Ding", "Yuxin Wang", "Yingtai Xiao", "Guanhong Wang", "Danfeng Zhang", "Daniel Kifer" ], "doi": "10.1007/s00778-022-00728-2", "ref_id": "b6", "title": "Free gap estimates from the exponential mechanism, sparse vector, noisy max and related...
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nkals4A4Vs
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
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Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning
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Pre-training for Speech Translation: CTC Meets Optimal Transport
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Direct Parameterization of Lipschitz-Bounded Deep Networks
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Multicalibration as Boosting for Regression
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Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
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Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
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Resurrecting Recurrent Neural Networks for Long Sequences
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Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
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Graphically Structured Diffusion Models
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Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
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Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
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Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
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Robust Budget Pacing with a Single Sample
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JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
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Delving into Noisy Label Detection with Clean Data
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Taming graph kernels with random features
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Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions
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Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
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Difference of submodular minimization via DC programming
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Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
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Data Feedback Loops: Model-driven Amplification of Dataset Biases
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Learning Control-Oriented Dynamical Structure from Data
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Nonparametric Extensions of Randomized Response for Private Confidence Sets
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Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
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Towards Reliable Neural Specifications
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Mimetic Initialization of Self-Attention Layers
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Quantile Credit Assignment
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Second-Order Optimization with Lazy Hessians
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Whose Opinions Do Language Models Reflect?
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Tractable Control for Autoregressive Language Generation
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Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
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[ { "authors": [ "Eric Lei", "Hamed Hassani", "Shirin Saeedi Bidokhti" ], "doi": "10.1109/isit50566.2022.9834845", "ref_id": "b34", "title": "Neural Estimation of the Rate-Distortion Function for Massive Datasets", "year": "2022" }, { "authors": [ "S Arimoto" ...
[ { "authors": [ "P-A Absil", "R Mahony", "R Sepulchre" ], "doi": "10.1515/9781400830244", "ref_id": "b0", "title": "Optimization Algorithms on Matrix Manifolds", "year": "2009" }, { "authors": [ "E Agustsson", "F Mentzer", "M Tschannen", "L Ca...
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Fast Private Kernel Density Estimation via Locality Sensitive Quantization
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[ { "authors": [ "Moses Charikar", "Paris Siminelakis" ], "doi": "10.1109/focs.2017.99", "ref_id": "b11", "title": "Hashing-Based-Estimators for Kernel Density in High Dimensions", "year": "2017. 2017" }, { "authors": [ "B Coleman", "A Shrivastava" ], "d...
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Towards Theoretical Understanding of Inverse Reinforcement Learning
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RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
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AdaBoost is not an Optimal Weak to Strong Learner
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Inflow, Outflow, and Reciprocity in Machine Learning
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Hierarchies of Reward Machines
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Active Ranking of Experts Based on their Performances in Many Tasks
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Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
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Diffusion Models are Minimax Optimal Distribution Estimators
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Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
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Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization
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Generalized Teacher Forcing for Learning Chaotic Dynamics
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Equivariant Polynomials for Graph Neural Networks
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Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains
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Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
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AT8Iw8KOeC
Pretraining Language Models with Human Preferences
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Cross-Modal Fine-Tuning: Align then Refine
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[ { "authors": [ "W Kim", "B Son", "I Kim" ], "doi": "", "ref_id": "b35", "title": "Vilt: Vision-and-language transformer without convolution or region supervision", "year": "2021" }, { "authors": [ "Y Yao", "Y Zhang", "X Li", "Y Ye" ], ...
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LJ9iKElXpl
Exponential Smoothing for Off-Policy Learning
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eIQIcUKs0T
Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models
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Rw8OOwatgy
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
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Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
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gsP05g8IeK
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
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bUFUaawOTk
Best of Both Worlds Policy Optimization
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EfhmBBrXY2
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
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JPMT9kjeJi
Self-Interpretable Time Series Prediction with Counterfactual Explanations
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MXuLl38AEm
Specializing Smaller Language Models towards Multi-Step Reasoning
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[ { "authors": [ "H W Chung", "L Hou", "S Longpre", "B Zoph", "Y Tay", "W Fedus", "E Li", "X Wang", "M Dehghani", "S Brahma" ], "doi": "", "ref_id": "b4", "title": "Scaling instruction-finetuned language models", "year": "2022" }, ...
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MtopPVk3Ll
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features
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GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
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s58a6Pxw7V
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
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[ { "authors": [ "D R Burt", "C E Rasmussen", "M Van Der Wilk" ], "doi": "", "ref_id": "b0", "title": "Variational orthogonal features", "year": "2020" }, { "authors": [ "R H Byrd", "P Lu", "J Nocedal", "C Zhu" ], "doi": "", "ref_id...
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pRQOVucM8e
Dynamics-inspired Neuromorphic Visual Representation Learning
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rVtdWHPFxX
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
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[ { "authors": [ "Yaonan Jin", "Daogao Liu", "Zhao Song" ], "doi": "10.1137/1.9781611977554.ch176", "ref_id": "b15", "title": "Super-resolution and Robust Sparse Continuous Fourier Transform in Any Constant Dimension: Nearly Linear Time and Sample Complexity", "year": "2021" ...
[ { "authors": [ "Mohammad Gheshlaghi Azar", "Rémi Munos", "Hilbert J Kappen" ], "doi": "10.1007/s10994-013-5368-1", "ref_id": "b0", "title": "Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model", "year": "2017" }, { "authors"...
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mSKJS7YbwU
Raising the Cost of Malicious AI-Powered Image Editing
data/openreview_paper/ICML_2023_oral/mSKJS7YbwU//paper.pdf
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[ { "authors": [ "Tero Karras", "Samuli Laine", "Miika Aittala", "Janne Hellsten", "Jaakko Lehtinen", "Timo Aila" ], "doi": "10.1109/cvpr42600.2020.00813", "ref_id": "b17", "title": "Analyzing and Improving the Image Quality of StyleGAN", "year": "2018" },...
[ { "authors": [ "Darius Afchar", "Vincent Nozick", "Junichi Yamagishi", "Isao Echizen" ], "doi": "10.1109/wifs.2018.8630761", "ref_id": "b0", "title": "MesoNet: a Compact Facial Video Forgery Detection Network", "year": "2018. 2018" }, { "authors": [ "N A...
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thUjOwfzzv
Human-Timescale Adaptation in an Open-Ended Task Space
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[ { "authors": [ "Oriol Vinyals", "Igor Babuschkin", "Wojciech M Czarnecki", "Michaël Mathieu", "Andrew Dudzik", "Junyoung Chung", "David H Choi", "Richard Powell", "Timo Ewalds", "Petko Georgiev", "Junhyuk Oh", "Dan Horgan", "Manuel Kr...
[ { "authors": [ "R Agarwal", "M Schwarzer", "P S Castro", "A C Courville", "M G Bellemare" ], "doi": "", "ref_id": "b0", "title": "Deep reinforcement learning at the edge of the statistical precipice", "year": "2021" }, { "authors": [ "I Akkaya", ...
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mGUJMqjDwE
Provably Learning Object-Centric Representations
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[ { "authors": [ "R S Zimmermann", "Y Sharma", "S Schneider", "M Bethge", "W Brendel" ], "doi": "", "ref_id": "b95", "title": "Contrastive learning inverts the data generating process", "year": "2021" }, { "authors": [ "J Peters", "D Janzing", ...
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