file stringlengths 13 16 | year int64 2.02k 2.02k | label int64 0 2 | text stringlengths 10 378k | page_no int64 0 156 | bbox sequence |
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RQLLzMCefQu.pdf | 2,022 | 0 | provable rl with exogenous distractors via multistep inverse dynamics yonathan efroni1, dipendra misra1, akshay krishnamurthy1, alekh agarwal2 1microsoft research, new york, ny 2google †, john langford1 abstract many real-world applications of reinforcement learning (rl) require the agent to deal with high-dimensional ... | 6 | [
108,
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fPhKeld3Okz.pdf | 2,022 | 1 | gradient step denoiser for convergent plugand-play samuel hurault ∗, arthur leclaire & nicolas papadakis univ. bordeaux, bordeaux inp, cnrs, imb, umr 5251,f-33400 talence, france abstract plug-and-play (pnp) methods constitute a class of iterative algorithms for imaging problems where regularization is performed by an ... | 3 | [
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NX1He-aFO_F.pdf | 2,021 | 1 | learning value functions in deep policy gradients using residual variance yannis flet-berliac∗ inria, scool team univ. lille, cristal, cnrs yannis.flet-berliac@inria.fr odalric-ambrym maillard inria, scool team reda ouhamma∗ inria, scool team univ. lille, cristal, cnrs reda.ouhamma@inria.fr philippe preux inria, scool ... | 1 | [
108.299,
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apv504XsysP.pdf | 2,022 | 2 | ab-initio potential energy surfaces pairing gnns with neural wave functions by nicholas gao & stephan g ¨unnemann department of informatics & munich data science institute technical university of munich, germany @in.tum.de gaoni,guennemann { abstract solving the schr¨odinger equation is key to many quantum mechanical p... | 2 | [
108.249,
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ZKy2X3dgPA.pdf | 2,022 | 1 | it takes two to tango: mixup for deep metric learning shashanka venkataramanan1∗ bill psomas3∗ konstantinos karantzalos3 ewa kijak1 yannis avrithis2 laurent amsaleg1 1inria, univ rennes, cnrs, irisa 2athena rc 3national technical university of athens abstract metric learning involves learning a discriminative represent... | 2 | [
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ivwZO-HnzG_.pdf | 2,023 | 2 | recon: reducing conflicting gradients from the root for multi-task learning guangyuan shi, qimai li, wenlong zhang, jiaxin chen, xiao-ming wu(cid:12) department of computing, the hong kong polytechnic university, hong kong s.a.r., china {guang-yuan.shi, qee-mai.li, wenlong.zhang}@connect.polyu.hk, jiax.chen@connect.pol... | 2 | [
108.249,
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yqPnIRhHtZv.pdf | 2,021 | 2 | learning hyperbolic representations of topological features panagiotis kyriakis university of southern california los angeles, usa pkyriaki@usc.edu iordanis fostiropoulos university of southern california los angeles, usa fostirop@usc.edu paul bogdan university of southern california los angeles, usa pbogdan@usc.edu ab... | 6 | [
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E3Ys6a1NTGT.pdf | 2,021 | 0 | under review as a conference paper at iclr 2021 the importance of pessimism in fixed-dataset policy optimization anonymous authors paper under double-blind review abstract we study worst-case guarantees on the expected return of fixed-dataset policy optimization algorithms. our core contribution is a unified conceptual... | 9 | [
108,
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_4GFbtOuWq-.pdf | 2,022 | 1 | capacity of group-invariant linear readouts from equivariant representations: how many objects can be linearly classified under all possible views? matthew farrell∗‡, blake bordelon∗‡, shubhendu trivedi†, & cengiz pehlevan‡ ‡ harvard university {msfarrell,blake bordelon,cpehlevan}@seas.harvard.edu † massachusetts insti... | 2 | [
108.299,
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zEn1BhaNYsC.pdf | 2,023 | 1 | minimax optimal kernel operator learning via multilevel training jikai jin school of mathematical sciences peking university beijing, china jkjin@pku.edu.cn yiping lu institute for computational & mathematical engineering stanford university stanford, ca, us yplu@stanford.edu jose blanchet management science and engine... | 0 | [
126.82956,
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a4COps0uokg.pdf | 2,023 | 1 | user-interactive offline reinforcement learning phillip swazinna siemens & tu munich munich, germany swazinna@in.tum.de steffen udluft siemens technology munich, germany steffen.udluft@siemens.com thomas runkler siemens & tu munich munich, germany thomas.runkler@siemens.com abstract offline reinforcement learning algor... | 9 | [
108.299,
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bZJbzaj_IlP.pdf | 2,022 | 2 | a non-parametric regression viewpoint : generalization of overparametrized deep relu network under noisy observations namjoon suh, hyunouk ko, xiaoming huo h.milton stewart school of industrial and systems engineering georgia institute of technology atlanta, ga, usa {namjsuh,hko39,huo}@gatech.edu abstract we study the ... | 1 | [
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156.2256784
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