A characterization theorem for equivariant networks with point-wise activations by Pacini, M, Dong, X, Lepri, B, Santin, G

“…OpenReview…”

Sample-efficiency in multi-batch reinforcement learning: the need for dimension-dependent adaptivity by Johnson, E, Pike-Burke, C, Rebeschini, P

“…OpenReview…”

Lifelong benchmarks: efficient model evaluation in an era of rapid progress by Prabhu, A, Udandarao, V, Torr, PHS, Bethge, M, Bibi, A, Albanie, S

“…OpenReview…”

Faithful rule extraction for differentiable rule learning models by Wang, X, Tena Cucala, DJ, Cuenca Grau, B, Horrocks, I

“…OpenReview…”

Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU by Kidger, P, Lyons, TJ

“…OpenReview…”

IMAE for noise-robust learning: mean absolute error does not treat examples equally and gradient magnitude’s variance matters by Wang, X, Hua, Y, Kodirov, E, Clifton, DA, Robertson, NM

“…OpenReview…”

Inducing high energy-latency of large vision-language models with verbose images by Gao, K, Bai, Y, Gu, J, Xia, ST, Torr, P, Li, Z, Liu, W

“…OpenReview…”

How consensus-based optimization can be interpreted as a stochastic relaxation of gradient descent by Riedl, K, Klock, T, Geldhauser, C, Fornasier, M

“…OpenReview…”

Direct3D: Scalable image-to-3D generation via 3D latent diffusion transformer by Wu, S, Lin, Y, Zhang, F, Zeng, Y, Xu, J, Torr, P, Cao, X, Yao, Y

“…OpenReview…”

Seq2Tens: an efficient representation of sequences by low-rank tensor projections by Toth, C, Bonnier, P, Oberhauser, H

“…OpenReview…”

Meta-learning with differentiable closed-form solvers by Bertinetto, L, Henriques, J, Torr, P, Vedaldi, A

“…OpenReview…”

Learning to superoptimize programs by Bunel, R, Desmaison, A, Kumar, M, Torr, P, Kohli, P

“…OpenReview…”

Select to perfect: imitating desired behavior from large multi-agent data by Franzmeyer, T, Elkind, E, Torr, P, Foerster, F, Henriques, JF

“…OpenReview…”

Relaxed softmax: efficient confidence auto-calibration for safe pedestrian detection by Neumann, L, Zisserman, A, Vedaldi, A

“…OpenReview…”

Continual learning on a diet: learning from sparsely labeled streams under constrained computation by Zhang, W, Mohamed, Y, Ghanem, B, Torr, PHS, Bibi, A, Elhoseiny, M

“…OpenReview…”

Learning altruistic behaviours in reinforcement learning without external rewards by Franzmeyer, T, Malinowski, M, Henriques, JF

“…OpenReview…”

Auto-encoding sequential Monte Carlo by Le, T, Igl, M, Rainforth, T, Jin, T, Wood, F

“…OpenReview…”

An MRP formulation for supervised learning: generalized temporal difference learning models by Pan, Y, Wen, J, Xiao, C, Torr, PHS

“…OpenReview…”

Bayesian reinforcement learning for single-episode missions in partially unknown environments by Budd, M, Duckworth, P, Hawes, N, Lacerda, B

“…OpenReview…”

Self-labelling via simultaneous clustering and representation learning by Vedaldi, A, Asano, Y, Rupprecht, C

“…Open Review…”