diff --git a/src/tracker/array.jl b/src/tracker/array.jl
index 2e3564cc..af5e6681 100644
--- a/src/tracker/array.jl
+++ b/src/tracker/array.jl
@@ -165,11 +165,11 @@ Base.cat(a::AbstractArray, b::TrackedArray, c::AbstractArray...; dims) = track_k
 
 @grad function cat(Xs...; dims)
   cat(data.(Xs)..., dims = dims), function (Δ)
-    start = ntuple(i -> 0, Val{ndims(Δ)})
+    start = ntuple(i -> 0, Val(ndims(Δ)))
     Δs = [begin
       dim_xs = 1:ndims(xs)
-      till_xs = ntuple((i -> i in dims ? (i in dim_xs ? size(xs,i) : 1) : 0), Val{ndims(Δ)})
-      xs_in_Δ = ntuple(i -> till_xs[i] > 0 ? (start[i]+1:start[i]+till_xs[i]) : Colon(), Val{ndims(Δ)})
+      till_xs = ntuple((i -> i in dims ? (i in dim_xs ? size(xs,i) : 1) : 0), Val(ndims(Δ)))
+      xs_in_Δ = ntuple(i -> till_xs[i] > 0 ? (start[i]+1:start[i]+till_xs[i]) : Colon(), Val(ndims(Δ)))
       d = reshape(Δ[xs_in_Δ...],size(xs))
       start = start .+ till_xs
       d
@@ -350,13 +350,13 @@ end
 
 function ∇broadcast(f, args::Vararg{Any,N}) where N
   sizes = _size.(args)
-  dargs = map((x,i) -> dualify(data(x), ntuple(j -> i==j, Val{N})), args, ntuple(identity, Val{N}))
+  dargs = map((x,i) -> dualify(data(x), ntuple(j -> i==j, Val(N))), args, ntuple(identity, Val(N)))
   out = broadcast(f, dargs...)
   eltype(out) <: Dual || return out
   y = value.(out)
   back = function (Δ_)
     Δ = data(Δ_)
-    Δargs = ntuple(i -> getpartial.(Δ, out, i), Val{N})
+    Δargs = ntuple(i -> getpartial.(Δ, out, i), Val(N))
     dxs = map((x, Δ) -> unbroadcast(x, Δ), sizes, Δargs)
     nobacksies(:broadcast, dxs)
   end